CN105791913A - Multi-user telephone configuration information setting method, multi-user telephone configuration information setting system and cloud server - Google Patents

Multi-user telephone configuration information setting method, multi-user telephone configuration information setting system and cloud server Download PDF

Info

Publication number
CN105791913A
CN105791913A CN201610270683.1A CN201610270683A CN105791913A CN 105791913 A CN105791913 A CN 105791913A CN 201610270683 A CN201610270683 A CN 201610270683A CN 105791913 A CN105791913 A CN 105791913A
Authority
CN
China
Prior art keywords
user
characteristic information
television equipment
class
configuration information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610270683.1A
Other languages
Chinese (zh)
Inventor
王宝云
于芝涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Poly Polytron Technologies Inc
Original Assignee
Qingdao Hisense Media Network Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qingdao Hisense Media Network Technology Co Ltd filed Critical Qingdao Hisense Media Network Technology Co Ltd
Priority to CN201610270683.1A priority Critical patent/CN105791913A/en
Publication of CN105791913A publication Critical patent/CN105791913A/en
Pending legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25808—Management of client data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H04N21/25891—Management of end-user data being end-user preferences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/4508—Management of client data or end-user data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/4508—Management of client data or end-user data
    • H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/485—End-user interface for client configuration

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Computer Graphics (AREA)
  • Human Computer Interaction (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

An embodiment of the invention provides a multi-user telephone configuration information setting method, a multi-user telephone configuration information setting system and a cloud server. The multi-user telephone configuration information setting method comprises the steps of receiving equipment characteristic information of television equipment and to-be-classified behavior data of the users; extracting to-be-classified behavior characteristic information from the to-be-classified behavior data; determining a pre-trained user classification module which corresponds with the equipment characteristic information; determining a user kind which corresponds with the to-be-classified behavior characteristic information based on the user classification module; and determining the telephone configuration information which corresponds with the user kind and transmitting the telephone configuration information so that the telephone equipment is set according to the received telephone configuration information. According to the multi-user telephone configuration information setting method, the multi-user telephone configuration information and the cloud server, the user kind of the user can be automatically determined without user intervention, thereby saving cost in additionally configuring acquisition equipment. Furthermore more accurate user kind which is determined based on the user classification model is realized, and furthermore more accurate telephone configuration information is determined for setting, thereby realizing higher accordance with user hobby and habit and improving user experience.

Description

The TV configuration information method to set up of multi-user, system and cloud server
Technical field
The present invention relates to intelligent television technical field, specifically, the present invention relates to the TV configuration information method to set up of a kind of multi-user, system and cloud server.
Background technology
Television equipment, as amusement equipment standing in parlor, has very strong shared attribute, and the different time periods is probably different users and is using television equipment to play program.
Different users is generally of different hobbies and custom；Such as, user may like the interactive interface of the system application by giving tacit consent to prepackage in television equipment and interacts and like playing the program of finance and economic and sport category；Another user may like the interactive interface by third-party application and likes playing TV play.
The parlor of user's family is generally only equipped with a television equipment, different user is when different time sections uses television equipment to play program, artificial personalized ground parameter that television equipment is carried out arranges the hobby and the custom that make to meet self, but regular personal settings are very loaded down with trivial details, cause that Consumer's Experience is not good；Stand other users setting to television equipment, play program reluctantly, cause that Consumer's Experience is not good.
Service side is so that the custom arranging adaptive different user of television equipment, thus promoting Consumer's Experience, it is provided that the TV configuration information method to set up of multiple multi-user.
The TV configuration information method to set up of a kind of multi-user is based on the TV configuration information method to set up of user account.Specifically, the operating system of television equipment provides the operating function that user account relates to, and user can be performed manually by Account Registration, login, the operation such as exit.For a user account being in logging status, it is possible to according to the configuration information that this user account is corresponding, television equipment is configured.
But, it was found by the inventors of the present invention that based in the TV configuration information method to set up of user account, it is still desirable to the operations such as user is performed manually by Account Logon, exit, account operation is relatively complicated frequently, it is easy to cause that Consumer's Experience is not good.And, same user account is probably different users and is using, and is difficult to determine to be which user is using television equipment；That is, it is determined that the accuracy of class of subscriber is poor, naturally also it is difficult to provide the user the TV configuration information meeting its individual demand, causes that Consumer's Experience is not good.
The TV configuration information method to set up of another kind of multi-user is based on the TV configuration information method to set up of user biological feature.Specifically, the biological characteristic of collecting device collection user is utilized；Collecting device is such as used to gather the facial characteristics of user, sound characteristic or fingerprint characteristic etc.；Living things feature recognition according to the user collected goes out concrete class of subscriber, and then determines that television equipment is configured by the video configuration information that class of subscriber is corresponding.
But, it was found by the inventors of the present invention that based on the TV configuration information method to set up of user biological feature, depend on specific hardware collecting device, it is necessary to user's additional configuration (such as buys) collecting device, relatively costly.
And, present inventor have further discovered that, collecting device is easily subject to interference；Such as image capture device is easily subject to the interference of light, and audio collecting device is easily subject to the interference etc. of environmental noise；Cause that the biological characteristic of the user of collection is inaccurate, cause and determine inaccurate class of subscriber according to inaccurate generation feature, and then cause determining that television equipment is configured by the inaccurate TV configuration information corresponding with inaccurate class of subscriber, thus causing that Consumer's Experience is not good.Such as, the biological characteristic of user A is confirmed as the biological characteristic of user B by mistake, thus television equipment is configured by the TV configuration information according to user B, be likely to not like uncomfortable to this configuration for user A, user A, it is easy to cause that user A experiences and decline.
Summary of the invention
The shortcoming that the present invention is directed to existing mode, propose the TV configuration information method to set up of a kind of multi-user, system and cloud server, have that user operation is relatively complicated, configuration collecting device is relatively costly or user's classification accuracy is relatively low problem in order to solve prior art.
Embodiments of the invention are according to an aspect, it is provided that the TV configuration information method to set up of a kind of multi-user, including:
Receive the apparatus characteristic information of television equipment and the behavioral data to be sorted of user；
Behavior characteristic information to be sorted is extracted from described behavioral data to be sorted；Determine user's disaggregated model of the training in advance corresponding with described apparatus characteristic information；The class of subscriber corresponding with described behavior characteristic information to be sorted is determined based on described user's disaggregated model；
Determine that the TV configuration information backward described television equipment preset corresponding with described class of subscriber issues so that described television equipment is configured according to the TV configuration information received.
Embodiments of the invention, according to another aspect, additionally provide the TV configuration information method to set up of a kind of multi-user, including:
After the start of this television equipment being detected or departing from dormancy, gather the behavioral data to be sorted of user, and upload together with the apparatus characteristic information of this television equipment；
After receiving the behavioral data of the apparatus characteristic information of described television equipment and the to be sorted of user, from described behavioral data to be sorted, extract behavior characteristic information to be sorted；Determine user's disaggregated model of the training in advance corresponding with described apparatus characteristic information；The class of subscriber corresponding with described behavior characteristic information to be sorted is determined based on described user's disaggregated model；Issue after determining the TV configuration information preset corresponding with described class of subscriber；
TV configuration information according to receiving is configured.
Embodiments of the invention, according to another aspect, additionally provide a kind of cloud server, including:
Data reception module, for receiving the apparatus characteristic information of television equipment and the behavioral data to be sorted of user；
Class of subscriber determines module, for extracting behavior characteristic information to be sorted from described behavioral data to be sorted；Determine user's disaggregated model of the training in advance corresponding with described apparatus characteristic information；The class of subscriber corresponding with described behavior characteristic information to be sorted is determined based on described user's disaggregated model；
TV configuration information issues module, for determining that the TV configuration information backward described television equipment preset corresponding with described class of subscriber issues so that described television equipment is configured according to the TV configuration information received.
Embodiments of the invention are according to another aspect, and the TV configuration information additionally providing a kind of multi-user arranges system, including:
Television equipment, is used for detecting that this television equipment is started shooting or after disengaging dormancy, gathers the behavioral data to be sorted of user, and upload together with the apparatus characteristic information of this television equipment；And be configured according to the TV configuration information received；
Cloud server, after receiving apparatus characteristic information and the behavioral data to be sorted of described television equipment, extracts behavior characteristic information to be sorted from described behavioral data to be sorted；Determine user's disaggregated model of the training in advance corresponding with described apparatus characteristic information；The class of subscriber corresponding with described behavior characteristic information to be sorted is determined based on described user's disaggregated model；Issue after determining the TV configuration information preset corresponding with described class of subscriber.
In the embodiment of the present invention, it is not necessary to user carries out register etc. and intervenes, without with hardware devices such as extra collecting devices, it is possible to based on user's disaggregated model of the behavioral data to be sorted of user and television equipment, it is determined that go out the class of subscriber of this user；Eliminate user and relate to the operation of Account Logon, improve Consumer's Experience；And save the spending of additional configuration collecting device, reduce cost.And, the class of subscriber determined based on user's disaggregated model is more accurate, such that it is able to promote the accuracy of TV configuration information corresponding to class of subscriber, and then can be set to more conform to user preferences and custom by the parameter of television equipment according to TV configuration information more accurately, thus promoting Consumer's Experience.
Aspect and advantage that the present invention adds will part provide in the following description, and these will become apparent from the description below, or is recognized by the practice of the present invention.
Accompanying drawing explanation
The present invention above-mentioned and/or that add aspect and advantage will be apparent from easy to understand from the following description of the accompanying drawings of embodiments, wherein:
Fig. 1 is the configuration diagram that the TV configuration information of the multi-user of the embodiment of the present invention arranges system；
Fig. 2 is the schematic flow sheet of the training method of user's disaggregated model of the television equipment of the embodiment of the present invention；
Fig. 3 is the schematic flow sheet of the TV configuration information method to set up of the multi-user of the embodiment of the present invention；
Fig. 4 is the schematic flow sheet of the update method of user's disaggregated model of the television equipment of the embodiment of the present invention；
Fig. 5 is the block schematic illustration of the internal structure of the cloud server of the embodiment of the present invention and television equipment.
Detailed description of the invention
Being described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has the element of same or like function from start to finish.The embodiment described below with reference to accompanying drawing is illustrative of, and is only used for explaining the present invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, and singulative used herein " ", " one ", " described " and " being somebody's turn to do " may also comprise plural form.Should be further understood that, the wording " including " used in the description of the present invention refers to there is described feature, integer, step, operation, element and/or assembly, but it is not excluded that existence or adds other features one or more, integer, step, operation, element, assembly and/or their group.It should be understood that when we claim element to be " connected " or during " coupled " to another element, it can be directly connected or coupled to other elements, or can also there is intermediary element.Additionally, " connection " used herein or " coupling " can include wireless connections or wireless couple.Wording "and/or" used herein includes one or more list the whole of item or any cell being associated and combines with whole.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, and all terms used herein (include technical term and scientific terminology), have with the those of ordinary skill in art of the present invention be commonly understood by identical meaning.It should also be understood that, those terms of definition in such as general dictionary, should be understood that there is the meaning consistent with the meaning in the context of prior art, and unless by specific definitions as here, otherwise will not explain by idealization or excessively formal implication.
Those skilled in the art of the present technique are appreciated that, " terminal " used herein above, " terminal unit " had both included the equipment of wireless signal receiver, it only possesses the equipment of wireless signal receiver of non-emissive ability, include again the equipment receiving and launching hardware, it has the reception that on bidirectional communication link, can carry out two-way communication and launches the equipment of hardware.This equipment may include that honeycomb or other communication equipments, and it has single line display or multi-line display or does not have honeycomb or other communication equipments of multi-line display；PCS (PersonalCommunicationsService, PCS Personal Communications System), its can combine voice, data process, fax and/or its communication ability；PDA (PersonalDigitalAssistant, personal digital assistant), it can include radio frequency receiver, pager, the Internet/intranet access, web browser, notepad, calendar and/or GPS (GlobalPositioningSystem, global positioning system) receptor；Conventional laptop and/or palmtop computer or other equipment, it has and/or includes the conventional laptop of radio frequency receiver and/or palmtop computer or other equipment." terminal " used herein above, " terminal unit " can be portable, can transport, be arranged in the vehicles (aviation, sea-freight and/or land), or it is suitable for and/or is configured at local runtime, and/or with distribution form, any other position operating in the earth and/or space is run." terminal " used herein above, " terminal unit " can also is that communication terminal, access terminals, music/video playback terminal, can be such as PDA, MID (MobileInternetDevice, mobile internet device) and/or there is the mobile phone of music/video playing function, it is also possible to it is the equipment such as television equipment, Set Top Box.
In the embodiment of the present invention, cloud server can train user's disaggregated model of this television equipment in advance for each television equipment, being equivalent to as this television equipment volume production customized user disaggregated model, this user's disaggregated model includes multiple class of subscriber and each self-corresponding behavior characteristic information.
In the embodiment of the present invention, cloud server receives the apparatus characteristic information of television equipment and the behavioral data to be sorted of user；Behavior characteristic information to be sorted is extracted from behavioral data to be sorted；Determine user's disaggregated model of the training in advance corresponding with apparatus characteristic information；The class of subscriber corresponding with behavior characteristic information to be sorted is determined based on user's disaggregated model；Issue to television equipment after determining the TV configuration information preset corresponding with class of subscriber so that television equipment is configured according to the TV configuration information received.Visible, in the TV configuration information method to set up of the multi-user of the embodiment of the present invention, carry out register etc. without user to intervene, without with hardware devices such as extra collecting devices, just can based on user's disaggregated model of the behavioral data to be sorted of user and television equipment, it is determined that go out the class of subscriber of this user；Eliminate user and relate to the operation of Account Logon, improve Consumer's Experience；And save the spending of configuration collecting device, reduce cost.And, the class of subscriber determined based on user's disaggregated model is more accurate, such that it is able to promote the accuracy of TV configuration information corresponding to class of subscriber, and then according to TV configuration information more accurately, the parameter configuration of television equipment can must be more conformed to user preferences and custom, thus promoting Consumer's Experience.
It is additionally, since the TV configuration information method to set up of the multi-user that can realize the embodiment of the present invention without collecting device；Therefore, the embodiment of the present invention is prevented from can collecting device being produced the light of interference, the interference to gathering behavioral data of the factors such as audio frequency, ensure the accuracy of the behavioral data of the user gathered, and then ensure the accuracy of the user's disaggregated model obtained based on the training of multiple behavioral datas gathered in advance, and ensure the accuracy of the behavior characteristic information extracted from behavioral data to be sorted, ensure the accuracy of the class of subscriber determined on the whole, such that it is able to promote the accuracy of TV configuration information corresponding to class of subscriber, and then the parameter configuration of television equipment must be able to be more conformed to user preferences and custom, promote Consumer's Experience.
The technical scheme of the embodiment of the present invention is specifically introduced below in conjunction with accompanying drawing.
In the embodiment of the present invention, it is provided that the TV configuration information of a kind of multi-user arranges system, the configuration diagram of this system is as it is shown in figure 1, include: television equipment and cloud server 101.
Television equipment can be multiple.Television equipment can be following at least one: intelligent television, non intelligent TV and Intelligent set top box, non intelligent TV and network machine top box etc..
Television equipment can access network by wired mode.Such as, television equipment accesses the Internet by Ethernet netting twine.Television equipment can access network by wireless method.Such as, television equipment passes through WiFi (WirelessFidelity, Wireless Fidelity) LAN optimization the Internet.
Cloud server 101 can be individual server, multiple server, server cluster or distributed server platforms；Those skilled in the art can be configured according to actual needs, and the configuration mode of cloud server 101 and scale etc. are not limited by the embodiment of the present invention.
Cloud server 101 accesses network by wired mode.Such as, cloud server 101 is by intelligent acess the Internet.
For each television equipment in the embodiment of the present invention, before the TV configuration information of multi-user is configured by this television equipment, it is necessary to cloud server 101 trains user's disaggregated model of this television equipment independently.
Below for single television equipment 102, introducing the training method of user's disaggregated model of television equipment in the embodiment of the present invention, the schematic flow sheet of the method is as in figure 2 it is shown, comprise the steps:
S201: obtain the apparatus characteristic information of television equipment 102 and multiple behavioral data in advance.
Specifically, after television equipment 102 accesses network, obtain the apparatus characteristic information of this television equipment, gather the behavioral data of user.
Apparatus characteristic information can be that MAC (MediaAccessControl, media interviews control) address, UUID (UniversallyUniqueIDentifier, general unique identifier) etc. represent the information of television equipment 101 uniqueness.
The behavioral data of user can include following at least one: user use interactive interface, user play program identification, user use application identities.
It is preferred that the behavioral data of user can also include: channel information belonging to program, play period, playing duration or program exit the moment.Further, the behavioral data of user can also include: the use time of application, application use duration, application exit the moment.
Television equipment 102 gathers multiple behavioral data.Specifically, multiple behavioral datas can include the behavioral data of multi collect, it is possible to includes the multiple behavioral datas in a gatherer process.Further, multiple behavioral datas can include the behavioral data of multiple user, it is also possible to includes multiple behavioral datas of unique user.
After television equipment 102 collects multiple behavioral data, the multiple behavioral datas collected are sent to cloud server 101 together with the apparatus characteristic information of this television equipment.
Preferably, television equipment 102 can create behavioral data buffer area, the multiple behavioral datas collected are temporarily stored in behavioral data buffer area, when the capacity of the behavioral data kept in reaches the cache threshold set, by temporary multiple behavioral datas with send to cloud server 101 together with the apparatus characteristic information of this television equipment.
Further, the multiple behavioral datas collected can be recorded in the daily record of behavioral data by television equipment 102, by daily record with send to cloud server 101 together with the apparatus characteristic information of this television equipment.
Cloud server 101 receives apparatus characteristic information and the multiple behavioral data that television equipment 102 sends.
It is preferred that cloud server 101 receive television equipment 102 send apparatus characteristic information and daily record after, from daily record, parse multiple behavioral data.
S202: for each behavioral data obtained in advance, goes out behavior characteristic information from behavior extracting data and inputs information as sample, and arranges desired class of subscriber for behavior characteristic information and export information as sample, obtains the sample set of television equipment 102.
Specifically, after cloud server 101 receives apparatus characteristic information and multiple behavioral data of television equipment 102 transmission in above-mentioned steps, in this step, for each behavioral data, go out behavior characteristic information from behavior extracting data and input information as sample.
Behavior characteristic information can include following at least one: user for the hobby data of interactive interface, user for the hobby data of program, user for application hobby data.
It is preferred that the behavior characteristic information of user can also include: user for the hobby data of channel, user for broadcasting period of the custom of program and the moment of exiting.Further, the behavior characteristic information of user can also include: user is for the use time of custom of application and exits the moment.
Such as, cloud server 101, for each program identification in multiple behavioral datas, counts the average playing duration that this program identification is corresponding, it is judged that whether the average playing duration counted is more than the duration threshold value of this program identification obtained in advance；If so, then can determine that this user is interested in this program, be 0.8 by this user for the hobby data-measuring of this program；Otherwise determine that this program is lost interest in by this user, be 0.1 by this user for the hobby data-measuring of this program, in order to subsequent calculations.
For another example, cloud server 101, for each program identification in multiple behavioral datas, counts the broadcasting frequency of this program identification correspondence program, it is judged that whether the broadcasting frequency counted is more than the broadcasting frequency threshold value of this program identification obtained in advance；If so, then can determine that this user is interested in this program, be 0.8 by this user for the hobby data-measuring of this program；Otherwise determine that this program is lost interest in by this user, be 0.1 by this user for the hobby data-measuring of this program, in order to subsequent calculations.
Cloud server 101 is for each behavioral data, after going out behavior characteristic information from behavior extracting data, arranges desired class of subscriber for behavior characteristic information and exports information as sample.
Such as, hobby data for finance and economic and/or sport category program in behavior characteristic information are exceeded the user of respective threshold by cloud server 101, and this class of subscriber is set to adult male classification；Exceed the user of respective threshold for the hobby data of fashion class and/or variety class program, this class of subscriber is set to adult female's classification；Exceed the user of respective threshold for the hobby data of opera class program, this class of subscriber is set to old people's classification；Exceed the user of respective threshold for the hobby data of animation class and/or juvenile's class program, this class of subscriber is set to minor's classification etc..
It is preferred that the corresponding relation between cloud server 101 known behavior characteristic information and the known users classification that can obtain in advance.
Further, in the embodiment of the present invention, cloud server 101 can the class of subscriber that inputs for known behavior characteristic information of reception technique personnel, as the known users classification that known behavior characteristic information is corresponding.Such as, technical staff can take the mode of questionnaire, obtains the known behavior characteristic information of known users classification and correspondence thereof；Or, obtain the known behavioral data of known users classification and correspondence thereof, from known behavioral data, extract known behavior characteristic information corresponding with known users classification.Afterwards, cloud server 101 can the known users classification of reception technique personnel input and the known behavior characteristic information of correspondence thereof.
Further, in the embodiment of the present invention, it is possible to gathering the behavioral data of the user of known users classification, subordinate act extracting data goes out behavior characteristic information, as the known behavior characteristic information corresponding with known class of subscriber.Such as, technical staff can reach an agreement with multiple known users；Cloud server 101 is for each user reached an agreement, obtain the class of subscriber of this user, and gather when these users use television equipment behavioral data within the framework of the agreement as known behavioral data, using from the known behavioral data gathered, the behavior characteristic information that extracts is as known behavior characteristic information, corresponding with the known users classification of this user.
Cloud server 101 is for the behavior characteristic information of each behavioral data, can according to the corresponding relation between the known behavior characteristic information obtained in advance and known users classification, determine the class of subscriber corresponding with behavior characteristic information, as the desired class of subscriber arranged for behavior characteristic information.
Such as, cloud server 101 is for the behavior characteristic information of each behavioral data, calculate the similarity between behavior characteristic information and each known behavior characteristic information, by known users classification corresponding for known behavior characteristic information maximum for similarity, it is set to the class of subscriber that behavior characteristic information is corresponding, as the desired class of subscriber arranged for behavior characteristic information.
Cloud server 101 is for each behavior characteristic information inputting information as sample, for behavior characteristic information, desired class of subscriber is set as after sample output information, obtain multipair corresponding behavior characteristic information and class of subscriber, constitute the sample set of television equipment 102.
More excellent, cloud server 101 stores extracting the behavior characteristic information obtained in distributed file system；After the respective behavior characteristic information of multiple behavioral datas gathered all extracts storage, from distributed file system, obtain all of behavior characteristic information；For the behavior characteristic information of each acquisition, behavior characteristic information is inputted information as sample, desired class of subscriber is set for behavior characteristic information and exports information as sample, obtain the sample set that the apparatus characteristic information of television equipment 102 is corresponding.
S203: utilize Learning Algorithm that sample set is trained, obtains multiple class of subscriber and each self-corresponding behavior characteristic information, as user's disaggregated model that the apparatus characteristic information of television equipment 102 is corresponding.
Specifically, the sample set of the cloud server 101 television equipment 102 for obtaining in above-mentioned steps, in this step, utilize Learning Algorithm that this sample set is trained, concrete training method is well known to those skilled in the art, and repeats no more herein.
Preferably, cloud server 101 can adopt following a kind of Learning Algorithm training sample set: convolutional neural networks learning algorithm, the Learning Algorithm based on error BP (BackPropagation, reverse propagation), the algorithm etc. based on Hebb (He Bu) learning rules.
After cloud server 101 utilizes Learning Algorithm that the sample set of television equipment 102 is trained, obtain multiple class of subscriber and each self-corresponding behavior characteristic information, as user's disaggregated model that the apparatus characteristic information of television equipment 102 is corresponding, i.e. user's disaggregated model of television equipment 102.
More excellent, cloud server 101 adopts the mode of Distributed Calculation, after utilizing Learning Algorithm that the sample set of television equipment 102 is trained, obtain multiple class of subscriber and each self-corresponding behavior characteristic information, as user's disaggregated model that the apparatus characteristic information of television equipment 102 is corresponding, i.e. user's disaggregated model of television equipment 102.
User's disaggregated model of television equipment 102 includes: use multiple class of subscribers of television equipment 102, behavior characteristic information that each class of subscriber is corresponding.It will be understood by those skilled in the art that and be equivalent to customize user's disaggregated model for television equipment 102 volume production；The accuracy of multiple users and each self-corresponding behavior characteristic information of each user using television equipment 102 can be promoted, it is easy to the class of subscriber that subsequent step determines based on user's disaggregated model more accurate, such that it is able to promote the accuracy of TV configuration information corresponding to class of subscriber, and then according to TV configuration information more accurately, the parameter configuration of television equipment can must be more conformed to user preferences and custom, thus promoting Consumer's Experience.
It is true that cloud server 101 based on above-mentioned steps S201-S203, can train each self-corresponding user's disaggregated model of apparatus characteristic information of multiple television equipment.
Based on above-mentioned user's disaggregated model, the schematic flow sheet of the TV configuration information method to set up of the multi-user of the embodiment of the present invention is as it is shown on figure 3, comprise the steps:
S301: television equipment 102 gathers the behavioral data to be sorted of user, and uploads together with the apparatus characteristic information of this television equipment after the start of this television equipment being detected or departing from dormancy.
Specifically, after television equipment 102 start, automatically access network, the address information according to the cloud server 101 prestored, set up with cloud server 101 and be connected.
Television equipment 102 gathers the behavioral data of user as behavioral data to be sorted, gathers the apparatus characteristic information of this television equipment after the start of this television equipment being detected or departing from dormancy；Concrete acquisition method is consistent with the acquisition method in above-mentioned steps S201, repeats no more herein.
The apparatus characteristic information collected and behavioral data to be sorted are sent by television equipment 102 to cloud server 101.
S302: cloud server 101 receives the apparatus characteristic information of television equipment 102 and the behavioral data of the to be sorted of user.
Cloud server 101 carries out corresponding storage after receiving the apparatus characteristic information of television equipment 102 transmission and the behavioral data to be sorted of user.
S303: cloud server 101 extracts behavior characteristic information to be sorted from the behavioral data to be sorted received.
Cloud server 101 extracts behavior characteristic information to be sorted from the behavioral data to be sorted received, consistent with extracting the method for behavior characteristic information from the behavioral data obtained in advance in above-mentioned steps S202, repeats no more herein.
S304: cloud server 101 determines user's disaggregated model of the training in advance corresponding with the apparatus characteristic information received.
The apparatus characteristic information of the cloud server 101 television equipment 102 for receiving, the each self-corresponding user's disaggregated model of apparatus characteristic information of the multiple television equipments gone out from above-mentioned training in advance, determine the user disaggregated model corresponding with the apparatus characteristic information of television equipment 102, namely determine user's disaggregated model of television equipment 102 correspondence.
S305: cloud server 101 is based on a determination that user's disaggregated model of going out, it is determined that go out the class of subscriber corresponding with behavior characteristic information to be sorted.
Specifically, user's disaggregated model of the cloud server 101 television equipment 102 for determining in above-mentioned steps S304, from this user's disaggregated model, parse multiple class of subscriber and each self-corresponding behavior characteristic information；Calculate the similarity between behavior characteristic information to be sorted and each behavior characteristic information parsed；Determine the class of subscriber that similarity is maximum between the behavior characteristic information to be sorted behavior characteristic information parsed is corresponding, as the class of subscriber that behavior characteristic information to be sorted is corresponding.
It is appreciated that the class of subscriber determining that behavior characteristic information to be sorted is corresponding, is equivalent to determine the class of subscriber of behavior characteristic information owning user to be sorted；It is to say, behavior characteristic information to be sorted to have been carried out the classification of owning user.
S306: cloud server 101 is for class of subscriber corresponding to behavior characteristic information to be sorted, it is determined that after going out the TV configuration information preset corresponding with this class of subscriber, issue to television equipment 102.
Specifically, cloud server 101 is for class of subscriber corresponding to the behavior characteristic information to be sorted determined in above-mentioned steps S305, in this step, it is determined that go out the TV configuration information preset corresponding with this class of subscriber.
TV configuration information can include following at least one: interactive interface configuration information, program configuration information, application configuration information, video configuration information, audio configuration information, network configuration information.
Interactive interface configuration information can include following at least one: the mark of interactive interface, the background information of interactive interface, interactive interface layout information.The mark of interactive interface can be the mark of the system application of the prepackage comprising interactive interface, it is also possible to be the mark of the third-party application comprising interactive interface.Such as, system application can be VIDAA or VISION；Third-party application can be excellent cruel APP (APPlication, application program), like the APP etc. of strange skill video APP or Fructus Mangifera Indicae TV.
Program configuration information can include following at least one: program category, program subordinate channel mark, playing duration, exit the moment.Such as, program category can include following at least one: comedy class, action class, emotion class, suspense class, terrified class, science fiction class, disaster class, special topic class, animation class, juvenile's class, educational.
Application configuration information can include following at least one: application type, application use duration, application exit the moment.Such as, application type can as follows at least one: game class, news category, office class, input method class or music class etc..
Video configuration information can include following at least one: resolution (such as 1080P, 720P, super clear, high definition or SD etc.), teaser or tail configuration information (such as skip teaser or tail or do not skip teaser or tail), aspect ratio (such as original scale, automatically full frame, 16:9 or 4:3 etc.).
Audio configuration information can include following at least one: acoustic pattern (such as mode standard or parlor pattern etc.), audio (such as SRS audio), automatic volume (such as automatic regulating volume or not automatic regulating volume), channel balance (such as left and right acoustic channels balance), balanced (the such as mega bass of frequency range, penetrating high pitch, clear voice or volume strengthening etc.), audio output mode (the speaker output of such as television equipment, coaxial interface and/or optical fiber interface in digital interface export, or linear interface and/or earphone interface in analog interface export).
Network configuration information can include following at least one: automatically obtain IP (InternetProtocol, Internet protocol) address, the IP address of setting, wireless network switch, Bluetooth switch.
It is preferred that the corresponding relation between cloud server 101 known TV configuration information and the known users classification that can obtain in advance.
Further, in the embodiment of the present invention, cloud server 101 can the class of subscriber that inputs for known TV configuration information of reception technique personnel, as the known users classification that known TV configuration information is corresponding.Such as, technical staff can take the mode of questionnaire, obtains the known TV configuration information of known users classification and correspondence thereof.Afterwards, cloud server 101 can the known users classification of reception technique personnel input and the known TV configuration information of correspondence thereof.
Further, in the embodiment of the present invention, for the user of known users classification, it is possible to gather the TV configuration information of the television equipment that this user uses, as the known TV configuration information corresponding with known users classification.Such as, technical staff can reach an agreement with multiple known users；Cloud server 101 is for each user reached an agreement, obtain the class of subscriber of this user, and gather the TV configuration information of television equipment of these users within the framework of the agreement as known TV configuration information, corresponding with the known users classification of this user.
Cloud server 101 is for class of subscriber corresponding to the behavior characteristic information to be sorted determined in above-mentioned steps S305, in this step, can according to the corresponding relation between the known TV configuration information and the known users classification that obtain in advance, it is determined that go out the known TV configuration information corresponding with this class of subscriber.
Such as, cloud server 101 is for class of subscriber corresponding to the behavior characteristic information to be sorted determined in above-mentioned steps S305, in this step, the similarity between the behavior characteristic information of this class of subscriber and the known behavior characteristic information of each known users classification is calculated；Determine the known users classification that the maximum known behavior characteristic information of similarity is corresponding, as the known users classification most like with this class of subscriber；Determine the known TV configuration information that the known users classification most like with this class of subscriber is corresponding, as the TV configuration information that this class of subscriber is corresponding.
Cloud server 101 is for the class of subscriber corresponding with behavior characteristic information to be sorted, after determining the TV configuration information that this class of subscriber is corresponding, the address information that apparatus characteristic information according to television equipment 102 is corresponding, issues this TV configuration information to television equipment 102.
It is preferred that after cloud server 101 determines the TV configuration information that class of subscriber is corresponding, the address information that the apparatus characteristic information that sends according to television equipment is corresponding, this TV configuration information is issued to the television equipment sending this behavior characteristic information to be sorted.
S307: television equipment 102 is configured according to the TV configuration information received.
Specifically, after television equipment 102 receives the TV configuration information that cloud server 101 issues, according to this TV configuration information, to following at least one be configured: interactive interface, program category, program playing duration, program exit the moment, application type, application use duration, application exit moment, video configuration, audio configuration, network configuration.
Such as, the interactive interface of television equipment 102, according to the mark liking strange skill video APP in TV configuration information corresponding for adult male classification A, is set to like the interactive interface of strange skill video APP by television equipment 102.
Specifically, television equipment 102 according to the mark liking strange skill video APP, can find out and like that the installation kit of strange skill video APP carries out installation and operation, and show the interactive interface liking strange skill video APP from the installation kit that this television equipment prestores.Or, television equipment 102 according to the mark liking strange skill video APP, the address information of given server that prestores, can be downloaded from given server and like that the installation kit of strange skill video APP carries out installation and operation, and show the interactive interface liking strange skill video APP.
It is appreciated that, user corresponding for adult male classification A is likely to liking that strange skill video APP has specific preference, the interactive interface liking strange skill video APP is provided for this user, hobby or the use habit of this user can be met, offer convenience for this user, comfortable sensation, thus promoting the experience of user.
For another example, the interactive interface of television equipment 102, according to the mark of VIDAA3 in TV configuration information corresponding to adult male type B, is set to the interactive interface of VIDAA3 by television equipment 102；And according to the program category of sport category in this TV configuration information, play the period be at 22 in evening to 3:00 AM, the automatic volume in the audio configuration of television equipment 102 is opened and volume is reduced to gear at night；Or switch to earphone interface to export the audio output mode in television equipment 102；Or the Bluetooth switch of the network configuration in television equipment 102 being opened, and audio signal sent by bluetooth, the bluetooth earphone for this user receives and plays.Now, when not affecting the household of this user, it is possible to make this user be operated at the interactive interface of its hobby, watch the program of its hobby, thus promoting the experience of user.
For another example, television equipment 102 is according to the program category in TV configuration information corresponding to old people's classification, allow to play the program of the program category comprised in TV configuration information on television equipment 102, but forbid playing the program of the program category not comprised in this TV configuration information on television equipment 102, such as forbid the program playing suspense class and terrified class, the user being possible to prevent old people's classification results in the abnormal conditions such as emergency case because of nervous and/or paralepsy, can ensure that the health of user, thus promoting the experience of user.
For another example, television equipment 102 is according to the program category in TV configuration information corresponding to minor's classification, the user allowing minor's classification plays the program of the juvenile's class comprised in TV configuration information, educational and animation class on television equipment 102, but forbids that this user plays the program of the emotion class, suspense class and the terror class that do not comprise in TV configuration information on television equipment 102；It is possible to prevent pupillary user viewing not meet the program of its age bracket, to ensure that this user psychology is healthy.Television equipment 102 exits some every day 22 in moment according to the program in TV configuration information corresponding to minor's classification, the user allowing minor's classification uses television equipment 102 to watch program to 22 points, plays in 22 display reminding information, interruption or terminal node purpose；Thus preventing the user of minor's classification from watching program too late, impact is had a rest, and affects learning life, assists this user to form good work and rest custom.Television equipment 102 uses duration to be all 2 hours according to playing duration in TV configuration information corresponding to minor's classification and application, when television equipment 102 detect the playing duration on the same day or application use duration reach 2 little time after display reminding information, interruption or terminate program and play and application runs；Thus preventing the user of minor's classification from wallowing in video frequency program or application, protecting the vision of this user, greatly reducing the monitoring workload of the tutorial user as this user, promote Consumer's Experience.
It is true that be absent from inevitable tandem between above-mentioned steps S303 and S304.According to practical situation, step S303 and S304 can be performed simultaneously；Or first carrying out step S303, at rear execution step S304；Or first carrying out step S304, at rear execution step S303.
Based on the TV configuration information method to set up of above-mentioned multi-user, the embodiment of the present invention additionally provides the update method of user's disaggregated model of a kind of television equipment, and the schematic flow sheet of the method as shown in Figure 4, comprises the steps:
S401: cloud server 101, by the class of subscriber of behavior characteristic information to be sorted and correspondence thereof, respectively as newly-increased sample input, output information, updates sample set.
Specifically, the behavior characteristic information to be sorted that cloud server 101 will extract in above-mentioned steps S303, as newly-increased sample input information.
The class of subscriber corresponding with behavior characteristic information to be sorted that cloud server 101 will be determined in above-mentioned steps S305, exports information as the newly-increased sample corresponding with newly-increased sample input information.
The cloud server 101 newly-increased sample output information according to newly-increased sample input information and correspondence, updates the sample set of television equipment 102 in above-mentioned steps S202.
It is preferred that cloud server 101 is by the newly-increased sample output information of newly-increased sample input information and correspondence, adds in above-mentioned steps S202 in the sample set of television equipment 102, obtain the sample set of the renewal of television equipment 102.
S402: cloud server 101 utilizes Learning Algorithm that the sample set updated is trained, and obtains user's disaggregated model of renewal corresponding to apparatus characteristic information.
Cloud server 101 utilizes Learning Algorithm that the sample set of the renewal of television equipment 102 is trained, obtain user's disaggregated model of renewal corresponding to apparatus characteristic information, sample set is trained by concrete grammar and above-mentioned steps S203, the method obtaining user's disaggregated model corresponding to the apparatus characteristic information of television equipment 102 is consistent, repeats no more herein.
It is appreciated that the behavior characteristic information as newly-increased sample input information and the user type as newly-increased sample output information, actually has been found to be that there is the corresponding relation determined in above-mentioned steps S301-305.Utilize to have and determines corresponding relevant behavior characteristic information and user type, enrich user's disaggregated model, it is possible to make user's disaggregated model more level off to the fact, more accurately；Make follow-up to utilize user's disaggregated model more accurately, more accurately determine out the class of subscriber that behavior characteristic information to be sorted is corresponding, and then more accurately determine out the TV configuration information that class of subscriber is corresponding, it is configured for television equipment, make the configuration of the TV after arranging meet user's needs more exactly, promote Consumer's Experience.
Based on the television equipment collocation method of above-mentioned multi-user, the training method of user's disaggregated model and update method, the block schematic illustration of the internal structure of the cloud server 101 in the embodiment of the present invention is as it is shown in figure 5, include: data reception module 501, class of subscriber determine that module 502 and TV configuration information issue module 503.
Wherein, data reception module 501 is for receiving the apparatus characteristic information of television equipment and the behavioral data to be sorted of user.
Class of subscriber determines that module 502 for extracting behavior characteristic information to be sorted from behavioral data to be sorted；Determine user's disaggregated model of the training in advance corresponding with apparatus characteristic information；The class of subscriber corresponding with behavior characteristic information to be sorted is determined based on user's disaggregated model.
TV configuration information issues module 503 for issuing to television equipment after determining the TV configuration information preset corresponding with class of subscriber so that television equipment is configured according to the TV configuration information received.
More excellent, as it is shown in figure 5, the cloud server 101 of the embodiment of the present invention also includes: user's disaggregated model training module 504.
And, data reception module 501 is additionally operable to obtain the apparatus characteristic information of television equipment and multiple behavioral data in advance.
User's disaggregated model training module 504 is for each behavioral data for obtaining in advance, go out behavior characteristic information from behavior extracting data and input information as sample, and desired class of subscriber is set for behavior characteristic information exports information as sample, obtain sample set；Utilize Learning Algorithm that sample set is trained, obtain multiple class of subscriber and each self-corresponding behavior characteristic information, as user's disaggregated model that apparatus characteristic information is corresponding.
It is preferred that the behavior characteristic information that user's disaggregated model training module 504 obtains for class of subscriber is determined that module 502 extract stores in distributed file system；After the respective behavior characteristic information of multiple behavioral datas gathered all extracts storage, from distributed file system, obtain all of behavior characteristic information；For the behavior characteristic information of each acquisition, behavior characteristic information is inputted information as sample, desired class of subscriber is set for behavior characteristic information and exports information as sample, obtain the sample set that the apparatus characteristic information of television equipment 102 is corresponding.And, adopt the mode of Distributed Calculation, after utilizing Learning Algorithm that the sample set of television equipment 102 is trained, obtain multiple class of subscriber and each self-corresponding behavior characteristic information, as user's disaggregated model that the apparatus characteristic information of television equipment 102 is corresponding.
Further, user's disaggregated model training module 504 is additionally operable to determine class of subscriber that module 502 is extracted and/or the class of subscriber of the behavior characteristic information to be sorted determined and correspondence thereof, respectively as newly-increased sample input, output information, updates sample set；Utilize Learning Algorithm that the sample set updated is trained, obtain user's disaggregated model of renewal corresponding to apparatus characteristic information.
Above-mentioned data reception module 501, class of subscriber determine that what module 502, TV configuration information issued module 503 and user's disaggregated model training module 504 function realizes method, it is referred to the particular content of process step as shown in above-mentioned Fig. 2-4, repeats no more herein.
Based on the television equipment collocation method of above-mentioned multi-user, the training method of user's disaggregated model and update method, the block schematic illustration of the internal structure of the television equipment 102 in the embodiment of the present invention is as it is shown in figure 5, include: behavioral data acquisition module 511 and TV configuration information arrange module 512.
Wherein, acquisition module 511 is for gathering the apparatus characteristic information of television equipment 102 and multiple behavioral data in advance；And after the start of this television equipment being detected or departing from dormancy, gather the behavioral data to be sorted of user, and upload to cloud server 101 together with the apparatus characteristic information of this television equipment.
TV configuration information arranges module 512 for according to TV configuration information corresponding to class of subscriber received, arrange in this television equipment following at least one: interactive interface, program category, program playing duration, program exit the moment, application type, application use duration, application to exit moment, video configuration, audio configuration, network configuration.
What above-mentioned behavioral data acquisition module 511 and TV configuration information arranged module 512 function realizes method, it is possible to reference to the particular content of the process step as shown in above-mentioned Fig. 2-4, repeat no more herein.
In the embodiment of the present invention, it is not necessary to user carries out register etc. and intervenes, without with hardware devices such as extra collecting devices, it is possible to based on user's disaggregated model of the behavioral data to be sorted of user and television equipment, it is determined that go out the class of subscriber of this user；Eliminate user and relate to the operation of Account Logon, improve Consumer's Experience；And save the spending of the extra collecting device of configuration, reduce cost.And, the class of subscriber determined based on user's disaggregated model is more accurate, such that it is able to promote the accuracy of TV configuration information corresponding to class of subscriber, and then can be set to more conform to user preferences and custom by the parameter of television equipment according to TV configuration information more accurately, thus promoting Consumer's Experience.
It is additionally, since the TV configuration information method to set up of the multi-user that can realize the embodiment of the present invention without collecting device；Therefore, the embodiment of the present invention is prevented from can collecting device being produced the light of interference, the interference to gathering behavioral data of the factors such as audio frequency, ensure the accuracy of the behavioral data of the user gathered, and then ensure the accuracy of the user's disaggregated model obtained based on the training of multiple behavioral datas gathered in advance, and ensure the accuracy of the behavior characteristic information extracted from behavioral data to be sorted, ensure the accuracy of the class of subscriber determined on the whole, such that it is able to promote the accuracy of TV configuration information corresponding to class of subscriber, and then the parameter configuration of television equipment must be able to be more conformed to user preferences and custom, promote Consumer's Experience.
Further, in the embodiment of the present invention, after determining the class of subscriber that behavior characteristic information to be sorted is corresponding, can by behavior characteristic information to be sorted and have the class of subscriber determining corresponding relation with it, the sample set of television equipment is updated, make behavior characteristic information in the sample set after updating more accurate with the corresponding relation of class of subscriber, namely the sample set after updating is more accurate, make can update according to sample set more accurately to train user's disaggregated model more accurately, user's disaggregated model is made more to level off to the respective behavioural habits of multiple user or hobby；Allow to utilize user's disaggregated model more accurately, more accurately determine out the class of subscriber that follow-up behavior characteristic information to be sorted is corresponding, and then more accurately determine out the TV configuration information that class of subscriber is corresponding, it is configured for television equipment, the configuration of the TV after arranging is made to more conform to the respective behavioural habits of multi-user or hobby, thus promoting Consumer's Experience.
Those skilled in the art of the present technique are appreciated that the present invention includes the one or more equipment relating to perform in operation described herein.These equipment can specialized designs and manufacture for required purpose, or the known device in general purpose computer can also be included.These equipment have storage computer program within it, and these computer programs optionally activate or reconstruct.nullSuch computer program can be stored in equipment (such as，Computer) in computer-readable recording medium or be stored in and be suitable to storage e-command and be coupled to any kind of medium of bus respectively，Described computer-readable medium includes but not limited to that any kind of dish (includes floppy disk、Hard disk、CD、CD-ROM、And magneto-optic disk)、ROM(Read-OnlyMemory，Read only memory)、RAM(RandomAccessMemory，Memorizer immediately)、EPROM(ErasableProgrammableRead-OnlyMemory，Erarable Programmable Read only Memory)、EEPROM(ElectricallyErasableProgrammableRead-OnlyMemory，EEPROM)、Flash memory、Magnetic card or light card.It is, computer-readable recording medium include by equipment (such as, computer) with can read form storage or transmission information any medium.
Those skilled in the art of the present technique are appreciated that, it is possible to the calculation machine programmed instruction combination to the frame in each frame realizing in these structure charts and/or block diagram and/or flow graph and these structure charts and/or block diagram and/or flow graph of using tricks.Those skilled in the art of the present technique are appreciated that, the processor that these computer program instructions can be supplied to general purpose computer, special purpose computer or other programmable data processing methods realizes, and performs the scheme specified in the frame of structure chart disclosed by the invention and/or block diagram and/or flow graph or multiple frame thereby through the processor of computer or other programmable data processing methods.
Those skilled in the art of the present technique are appreciated that the step in the various operations discussed in the present invention, method, flow process, measure, scheme can be replaced, change, combine or delete.Further, have the various operations discussed in the present invention, method, other steps in flow process, measure, scheme can also be replaced, changed, reset, decomposed, combined or deleted.Further, of the prior art have with the present invention disclosed in various operations, method, the step in flow process, measure, scheme can also be replaced, changed, reset, decomposed, combined or deleted.
The above is only the some embodiments of the present invention; it should be pointed out that, for those skilled in the art, under the premise without departing from the principles of the invention; can also making some improvements and modifications, these improvements and modifications also should be regarded as protection scope of the present invention.

Claims (10)

1. the TV configuration information method to set up of a multi-user, it is characterised in that including:
Receive the apparatus characteristic information of television equipment and the behavioral data to be sorted of user；
Behavior characteristic information to be sorted is extracted from described behavioral data to be sorted；Determine user's disaggregated model of the training in advance corresponding with described apparatus characteristic information；The class of subscriber corresponding with described behavior characteristic information to be sorted is determined based on described user's disaggregated model；
Determine that the TV configuration information backward described television equipment preset corresponding with described class of subscriber issues so that described television equipment is configured according to the TV configuration information received.
2. method according to claim 1, it is characterised in that described user's disaggregated model is obtained by following method training in advance:
Obtain the apparatus characteristic information of described television equipment and multiple behavioral data in advance；
For each behavioral data obtained in advance, go out behavior characteristic information from behavior extracting data and input information as sample, and desired class of subscriber is set for behavior characteristic information exports information as sample, obtain sample set；
Utilize Learning Algorithm that described sample set is trained, obtain multiple class of subscriber and each self-corresponding behavior characteristic information, as user's disaggregated model that described apparatus characteristic information is corresponding.
3. method according to claim 2, it is characterised in that also include:
By the class of subscriber of described behavior characteristic information to be sorted and correspondence thereof, respectively as newly-increased sample input, output information, update described sample set；
Utilize Learning Algorithm that the sample set updated is trained, obtain user's disaggregated model of renewal corresponding to described apparatus characteristic information.
4. the TV configuration information method to set up of a multi-user, it is characterised in that including:
After the start of this television equipment being detected or departing from dormancy, gather the behavioral data to be sorted of user, and upload together with the apparatus characteristic information of this television equipment；
After receiving the behavioral data of the apparatus characteristic information of described television equipment and the to be sorted of user, from described behavioral data to be sorted, extract behavior characteristic information to be sorted；Determine user's disaggregated model of the training in advance corresponding with described apparatus characteristic information；The class of subscriber corresponding with described behavior characteristic information to be sorted is determined based on described user's disaggregated model；Issue after determining the TV configuration information preset corresponding with described class of subscriber；
TV configuration information according to receiving is configured.
5. method according to claim 4, it is characterised in that the described TV configuration information according to reception is configured, and specifically includes:
According to TV configuration information corresponding to described class of subscriber received, arrange in this television equipment following at least one: interactive interface, program category, program playing duration, program exit the moment, application type, application use duration, application to exit moment, video configuration, audio configuration, network configuration.
6. a cloud server, it is characterised in that including:
Data reception module, for receiving the apparatus characteristic information of television equipment and the behavioral data to be sorted of user；
Class of subscriber determines module, for extracting behavior characteristic information to be sorted from described behavioral data to be sorted；Determine user's disaggregated model of the training in advance corresponding with described apparatus characteristic information；The class of subscriber corresponding with described behavior characteristic information to be sorted is determined based on described user's disaggregated model；
TV configuration information issues module, for determining that the TV configuration information backward described television equipment preset corresponding with described class of subscriber issues so that described television equipment is configured according to the TV configuration information received.
7. cloud server according to claim 6, it is characterised in that also include: user's disaggregated model training module；And
Described data reception module is additionally operable to obtain the apparatus characteristic information of described television equipment and multiple behavioral data in advance；
Described user's disaggregated model training module is for each behavioral data for obtaining in advance, go out behavior characteristic information from behavior extracting data and input information as sample, and desired class of subscriber is set for behavior characteristic information exports information as sample, obtain sample set；Utilize Learning Algorithm that described sample set is trained, obtain multiple class of subscriber and each self-corresponding behavior characteristic information, as user's disaggregated model that described apparatus characteristic information is corresponding.
8. cloud server according to claim 7, it is characterised in that
Described user's disaggregated model training module is additionally operable to the class of subscriber by described behavior characteristic information to be sorted and correspondence thereof, respectively as newly-increased sample input, output information, updates described sample set；Utilize Learning Algorithm that the sample set updated is trained, obtain user's disaggregated model of renewal corresponding to described apparatus characteristic information.
9. the TV configuration information of a multi-user arranges system, it is characterised in that including:
Television equipment, is used for detecting that this television equipment is started shooting or after disengaging dormancy, gathers the behavioral data to be sorted of user, and upload together with the apparatus characteristic information of this television equipment；And be configured according to the TV configuration information received；
Cloud server, after receiving apparatus characteristic information and the behavioral data to be sorted of described television equipment, extracts behavior characteristic information to be sorted from described behavioral data to be sorted；Determine user's disaggregated model of the training in advance corresponding with described apparatus characteristic information；The class of subscriber corresponding with described behavior characteristic information to be sorted is determined based on described user's disaggregated model；Issue after determining the TV configuration information preset corresponding with described class of subscriber.
10. system according to claim 9, it is characterised in that
Described television equipment specifically for according to the TV configuration information of described class of subscriber received, arrange in this television equipment following at least one: interactive interface, program category, program playing duration, program exit the moment, application type, application use duration, application to exit moment, video configuration, audio configuration, network configuration.
CN201610270683.1A 2016-04-27 2016-04-27 Multi-user telephone configuration information setting method, multi-user telephone configuration information setting system and cloud server Pending CN105791913A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610270683.1A CN105791913A (en) 2016-04-27 2016-04-27 Multi-user telephone configuration information setting method, multi-user telephone configuration information setting system and cloud server

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610270683.1A CN105791913A (en) 2016-04-27 2016-04-27 Multi-user telephone configuration information setting method, multi-user telephone configuration information setting system and cloud server

Publications (1)

Publication Number Publication Date
CN105791913A true CN105791913A (en) 2016-07-20

Family

ID=56398830

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610270683.1A Pending CN105791913A (en) 2016-04-27 2016-04-27 Multi-user telephone configuration information setting method, multi-user telephone configuration information setting system and cloud server

Country Status (1)

Country Link
CN (1) CN105791913A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107957889A (en) * 2016-10-17 2018-04-24 阿里巴巴集团控股有限公司 Processing method, device, client, server and the system of product configuration data
CN108347652A (en) * 2018-02-24 2018-07-31 华南理工大学 A kind of method and system for recommending IPTV direct broadcast bands using artificial neural network
CN108495150A (en) * 2018-01-24 2018-09-04 北京奇艺世纪科技有限公司 A kind of video clicks the determination method and device of satisfaction
CN108989871A (en) * 2018-06-27 2018-12-11 广州视源电子科技股份有限公司 Parameter adjusting method, device, readable storage medium storing program for executing and video playback apparatus
CN109408670A (en) * 2018-10-23 2019-03-01 聚好看科技股份有限公司 Kinsfolk's attribute forecast method, apparatus and intelligent terminal based on topic model
CN109683781A (en) * 2018-12-27 2019-04-26 贵州省广播电视信息网络股份有限公司 A kind of digital terminal identifies and finds the exchange method of interface focus
CN110933474A (en) * 2019-12-13 2020-03-27 上海邸客网络科技有限公司 User model modeling method for hotel room television

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102970606A (en) * 2012-12-04 2013-03-13 深圳Tcl新技术有限公司 Television program recommending method and device based on identity identification
CN103414930A (en) * 2012-07-27 2013-11-27 Tcl集团股份有限公司 Remote control system for identifying and sensing user and method thereof
CN103686371A (en) * 2013-12-02 2014-03-26 Tcl集团股份有限公司 Smart television service pushing method and system based on age groups
CN105117739A (en) * 2015-07-29 2015-12-02 南京信息工程大学 Clothes classifying method based on convolutional neural network

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103414930A (en) * 2012-07-27 2013-11-27 Tcl集团股份有限公司 Remote control system for identifying and sensing user and method thereof
CN102970606A (en) * 2012-12-04 2013-03-13 深圳Tcl新技术有限公司 Television program recommending method and device based on identity identification
CN103686371A (en) * 2013-12-02 2014-03-26 Tcl集团股份有限公司 Smart television service pushing method and system based on age groups
CN105117739A (en) * 2015-07-29 2015-12-02 南京信息工程大学 Clothes classifying method based on convolutional neural network

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107957889A (en) * 2016-10-17 2018-04-24 阿里巴巴集团控股有限公司 Processing method, device, client, server and the system of product configuration data
CN108495150A (en) * 2018-01-24 2018-09-04 北京奇艺世纪科技有限公司 A kind of video clicks the determination method and device of satisfaction
CN108495150B (en) * 2018-01-24 2020-09-15 北京奇艺世纪科技有限公司 Method and device for determining video click satisfaction
CN108347652A (en) * 2018-02-24 2018-07-31 华南理工大学 A kind of method and system for recommending IPTV direct broadcast bands using artificial neural network
CN108347652B (en) * 2018-02-24 2020-01-14 华南理工大学 Method and system for recommending IPTV live broadcast channel by using artificial neural network
CN108989871A (en) * 2018-06-27 2018-12-11 广州视源电子科技股份有限公司 Parameter adjusting method, device, readable storage medium storing program for executing and video playback apparatus
CN108989871B (en) * 2018-06-27 2021-09-17 广州视源电子科技股份有限公司 Parameter adjusting method and device, readable storage medium and video playing equipment
CN109408670A (en) * 2018-10-23 2019-03-01 聚好看科技股份有限公司 Kinsfolk's attribute forecast method, apparatus and intelligent terminal based on topic model
CN109683781A (en) * 2018-12-27 2019-04-26 贵州省广播电视信息网络股份有限公司 A kind of digital terminal identifies and finds the exchange method of interface focus
CN110933474A (en) * 2019-12-13 2020-03-27 上海邸客网络科技有限公司 User model modeling method for hotel room television

Similar Documents

Publication Publication Date Title
CN105791913A (en) Multi-user telephone configuration information setting method, multi-user telephone configuration information setting system and cloud server
US9319019B2 (en) Method for augmenting a listening experience
US8776102B2 (en) System and method for evaluating audience reaction to a data stream
US10643235B2 (en) Using environment and user data to deliver advertisements targeted to user interests, e.g. based on a single command
US8340974B2 (en) Device, system and method for providing targeted advertisements and content based on user speech data
CN101422036B (en) Method and system for managing video data based on a predicted next channel selection
CN107111642A (en) For creating the system and method for listening to daily record and music libraries
JP5843401B2 (en) Content information providing apparatus, content information providing system, content information providing method, and content information providing program
WO2016042889A1 (en) Information processing device, information processing method and computer program
CN110536144B (en) Live broadcast processing method and device and storage medium
Udo et al. Horatio audio-describes Shakespeare’s Hamlet: Blind and low-vision theatre-goers evaluate an unconventional audio description strategy
CN102129636A (en) System and method for providing viewer identification-based advertising
CN106792013A (en) A kind of method, the TV interactive for television broadcast sounds
US20030025722A1 (en) Method and apparatus for interactive broadcasting
CN1976287A (en) Personalized programming and advertising for television over IP
CN110265004B (en) Control method and device for target terminal in intelligent home operating system
CN107451242A (en) Data playback control method, system and computer-readable recording medium
CN106303728A (en) A kind of interactive digital cinema playback system and method
JP6246498B2 (en) Viewer Participation Type TV Program Broadcasting Method and System
CN104081386A (en) Content evaluation/playback device
KR102135076B1 (en) Emotion-based personalized news recommender system using artificial intelligence speakers
US20220058979A1 (en) Childhood development system
JP2020119425A (en) Information processing device, information processing system, information processing method, and program
Spinda et al. Checkered flags and mediated friendships: Parasocial interaction among NASCAR fans
CN114821815B (en) Pet online interaction system operation method, device, equipment and medium

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C41 Transfer of patent application or patent right or utility model
TA01 Transfer of patent application right

Effective date of registration: 20170112

Address after: 266000 Shandong Province, Qingdao city Laoshan District Songling Road No. 399

Applicant after: Poly Polytron Technologies Inc

Address before: 266100 Laoshan, Qingdao province Hongkong District No. East Road, room 248, room 131

Applicant before: Hisense Media Networks Co., Ltd.

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20160720