CN112929714A - Method and device for setting and pushing direct favorite content during startup, and smart television - Google Patents
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- 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
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- 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
- H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
- H04N21/26258—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list
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- 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
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Abstract
The application relates to a method and a device for setting and pushing favorite contents directly after starting up and an intelligent television. The method comprises the steps of collecting historical watching data of a user, analyzing the historical watching data to obtain content preference and use habit of the user, and further performing personalized content calculation by combining the content preference and the use habit to generate a playing slip, so that corresponding content in the playing slip can be selected to be played according to current time when the smart television is started. Namely, the method can directly reach the favorite content of the user when the smart television is started, thereby shortening the information acquisition path of the user, reducing the user operation and further effectively improving the use experience of the user.
Description
Technical Field
The application relates to the technical field of intelligent televisions, in particular to a method and a device for setting and pushing favorite contents directly after starting up and an intelligent television.
Background
With the popularization and the technological updating development of the smart television, the television has been changed from the traditional viewing mode of one-way content reception to the viewing mode of two-way interaction, that is, a user can autonomously select content in the smart television, wherein the content source comprises internet content. Although this method provides more information sources for the vast users, the amount of content is too large, which results in too long effective path for the users to obtain information.
Particularly, when the smart tv is turned on, the user, especially the elderly who are not skilled in using the smart tv, needs to spend a long time selecting and switching a favorite channel or ordering a favorite spot, resulting in poor user experience.
Disclosure of Invention
The application provides a setting and pushing method and device for directly starting up favorite contents and an intelligent television, and aims to solve the problems that the existing intelligent television cannot directly play contents related to user favorite and cannot provide one-touch service experience for a user.
The above object of the present application is achieved by the following technical solutions:
in a first aspect, an embodiment of the present application provides a method for setting and pushing favorite contents directly after booting, where the method is applied to a smart television, and the method includes:
collecting historical watching data of a user;
analyzing the historical watching data to obtain the content preference and the use habit of the user; the usage habits comprise frequency and distribution time periods;
performing personalized content calculation by combining the content preference and the use habit to generate a play sheet;
and when the intelligent television is started, selecting the corresponding content in the playing film list according to the current time to play.
Optionally, the historical viewing data includes live channel viewing data and on-demand dedicated region viewing data;
the live channel watching data comprises a watching channel name, a watching channel time length, a watching live program name, a watching live program time length and a watching live program type; the on-demand special area watching data comprises a watching special area name, a watching special area time length, an on-demand program watching name, an on-demand program watching time length and an on-demand program watching type.
Optionally, the analyzing the historical viewing data to obtain the content preference and the usage habit of the user includes:
judging whether the corresponding watching channel name and the watching live program name are valid data or not according to the watching channel duration and the watching live program duration based on a preset duration threshold; and/or judging whether the corresponding watching special area name and the watching on-demand program name are valid data or not according to the watching special area time length and the watching on-demand program time length on the basis of a preset time length threshold value;
and analyzing the effective data in the historical watching data to obtain the content preference and the use habit of the user.
Optionally, the playlist includes a live playlist and an on-demand playlist;
the live broadcast film list comprises a channel name, a program name and broadcast time; the on-demand playing film list comprises a district name, a program name and playing time.
Optionally, the generated playlist is stored according to a preset format.
Optionally, the selecting, according to the current time, the corresponding content in the playlist to be played further includes:
and sending a prompt to the user to prompt the user whether to set the currently played content as the starting direct content.
In a second aspect, an embodiment of the present application further provides a device for setting and pushing favorite content directly after booting, where the device is applied to a smart television, and the device includes:
the acquisition module is used for acquiring historical watching data of a user;
the analysis module is used for analyzing and obtaining the content preference and the use habit of the user according to the historical watching data; the usage habits comprise frequency and distribution time periods;
the generating module is used for carrying out personalized content calculation by combining the content preference and the use habit to generate a playing sheet;
and the playing module is used for selecting corresponding contents in the playing menu to play according to the current time when the intelligent television is started.
Optionally, the historical viewing data includes live channel viewing data and on-demand dedicated region viewing data;
the live channel watching data comprises a watching channel name, a watching channel time length, a watching live program name, a watching live program time length and a watching live program type; the on-demand special area watching data comprises a watching special area name, a watching special area time length, an on-demand program watching name, an on-demand program watching time length and an on-demand program watching type.
Optionally, the analysis module is specifically configured to:
judging whether the corresponding watching channel name and the watching live program name are valid data or not according to the watching channel duration and the watching live program duration based on a preset duration threshold; and/or judging whether the corresponding watching special area name and the watching on-demand program name are valid data or not according to the watching special area time length and the watching on-demand program time length on the basis of a preset time length threshold value;
and analyzing the effective data in the historical watching data to obtain the content preference and the use habit of the user.
In a third aspect, an embodiment of the present application further provides a smart television, which includes: the intelligent television comprises an intelligent television body and a controller arranged in the intelligent television body;
the controller comprises a memory and a processor connected with the memory;
the memory for storing a program for implementing at least the method according to any of the first aspects;
the processor is used for calling and executing the program stored in the memory.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
according to the technical scheme, the content preference and the use habit of the user are obtained through collecting the historical watching data of the user and analyzing according to the historical watching data, and personalized content calculation is carried out by combining the content preference and the use habit to generate the playing menu, so that the corresponding content in the playing menu can be selected to be played according to the current time when the intelligent television is started. Namely, the method can directly reach the favorite content of the user when the smart television is started, thereby shortening the information acquisition path of the user, reducing the user operation and further effectively improving the use experience of the user.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic flow chart illustrating a method for setting and pushing favorite contents directly after booting according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a setting and pushing device for direct booting to favorite content according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an intelligent television provided in an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
In the smart television starting-up setting in the market, only signal source selection is made, namely, channels or contents can only be switched according to user operation, and the method for setting the terminal signal source starting-up instead of directly playing the contents or channels related to user preference cannot provide one-touch service experience for users, so that the user experience is not good enough.
In order to solve the problems, the method and the device for directly reaching the favorite content of the user when the smart television is started are provided, so that the user operation is effectively reduced, and the use experience of the user is improved. The following examples are given for the purpose of illustration.
Examples
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a method for setting and pushing bootup to favorite content according to an embodiment of the present disclosure. The method is applied to the smart television, and as shown in fig. 1, the method at least comprises the following steps:
s101: collecting historical watching data of a user;
specifically, in order to determine the viewing preference of the user, in the present embodiment, first, historical viewing data of the user in the smart television is collected. In some embodiments, the historical viewing data includes live channel viewing data and on-demand spot viewing data; wherein the live channel viewing data includes a viewing channel name (e.g., a certain satellite), a viewing channel time (e.g., a time to start and stop viewing a certain channel), a viewing channel duration (e.g., a duration of continuously and/or cumulatively viewing a certain channel in a specific time period, such as a specific time period may be within 1 day), a viewing live program name, a viewing live program duration (e.g., a duration of continuously and/or cumulatively viewing a certain live program in a specific time period), and a viewing live program type (e.g., the program is a movie, a television, or a synthesis, etc.); the on-demand spot viewing data includes a viewing spot name (e.g., love art, youth, Tencent, etc.), a viewing spot time (i.e., a time to start and stop viewing a spot), a viewing spot duration (i.e., a duration of time a spot is viewed continuously and/or cumulatively for a particular time period), a viewing on-demand program name, a viewing on-demand program duration (i.e., a duration of time a spot is viewed continuously and/or cumulatively for a particular time period), and a viewing on-demand program type (e.g., the program is a movie, a television, or an art).
Through the historical watching data, the favorite content of the user can be well determined in the subsequent steps.
Of course, it should be understood that the specific contents of the historical viewing data given in the above embodiments are merely exemplary, and should not be seen as limiting the present application. That is, in practical applications, other data may be used as the historical viewing data.
S102: analyzing the historical watching data to obtain the content preference and the use habit of the user; the usage habits comprise frequency and distribution time periods;
specifically, based on the historical viewing data given in the above steps, the specific implementation process of step S102 includes: judging whether the corresponding watching channel name and the watching live program name are valid data or not according to the watching channel duration and the watching live program duration based on a preset duration threshold; and/or judging whether the corresponding watching special area name and the watching on-demand program name are valid data or not according to the watching special area time length and the watching on-demand program time length on the basis of a preset time length threshold value; and analyzing the effective data in the historical watching data to obtain the content preference and the use habit of the user.
That is, since the time for the user to view part of the channel data and part of the program data may be very short, for example, when the user switches the channels in sequence, the user stays in a certain channel for a short time, or stays in a certain spot-on area for a short time to determine whether the program type is the favorite content of the user, the program in the historical viewing data obtained based on the time is actually not the favorite content of the user, and further, if the content preference of the user is determined based on the data, a large deviation is caused, in this embodiment, first, according to a preset duration threshold and the stay duration of the user in a certain channel/a certain program, it is determined whether the corresponding viewing data is valid data, that is, for the viewing data of the live channel, if the duration of the viewing channel is less than the preset duration threshold, it is determined that the corresponding data is invalid data, if the duration of the viewing program is less than, determining the corresponding data as invalid data; the same principle is applied to the viewing data of the on-demand special area, and the description is omitted.
It should be noted that preset time length thresholds for the time length of viewing a channel, the time length of viewing a live program, the time length of viewing a specific area, and the time length of viewing an on-demand program may be the same or different, and are not limited thereto.
When the content preference of a user is analyzed, the time length of watching a live program and the time length of watching an on-demand program are very important data, and the longer the time length is, the higher the favorite degree of the user is.
In addition, the usage habit specifically includes a frequency and a distribution time period (of course, other data may also be included, which is not limited), that is, when analyzing the usage habit of the user, at least the frequency number of times that the user watches a certain channel, a special area, or a program, and the time period to which the user belongs each time watches the corresponding channel, special area, or program need to be obtained.
S103: performing personalized content calculation by combining the content preference and the use habit to generate a play sheet;
that is, according to a specific program viewed by a user at a specific time, a play slip for subsequent use as a play reference can be generated. Wherein, the playing menu comprises a live playing menu and an on-demand playing menu; the live broadcast film list comprises a channel name, a program name and broadcast time; the on-demand playing list comprises the district name, the program name and the playing time.
For example, for a live channel program, such as a tv play of a certain satellite, since the live channel program is played at a fixed time every day, if it is determined that the user likes to watch the tv play after the analysis in the above steps, a play list including the satellite channel, the tv play program, and a corresponding play time may be generated. For another example, for a spot on-demand program, for example, after the user is accustomed to the end of the daily live tv play, a forward-scheduled feature program is searched for and viewed from a certain spot, and therefore, a play list including the spot, the feature program, and the history search (on-demand) time may be generated.
In addition, in some embodiments, the generated playlist is stored according to a preset format, for example, the playlist format may be as follows: a. television channel-program name-broadcast time b. Tencent video apk (Internet content service provider) -program name-broadcast time.
S104: and when the intelligent television is started, selecting the corresponding content in the playing film list according to the current time to play.
That is, when the user turns on the smart television, the smart television automatically judges the current time, and determines and plays the corresponding television channel according to the current time and the playing time of the playing menu generated before the current time, or determines and plays the corresponding on-demand special area and the name of the program to be played.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
according to the technical scheme, the content preference and the use habit of the user are obtained through collecting the historical watching data of the user and analyzing according to the historical watching data, and personalized content calculation is carried out by combining the content preference and the use habit to generate the playing menu, so that the corresponding content in the playing menu can be selected to be played according to the current time when the intelligent television is started. Namely, the method can directly reach the favorite content of the user when the smart television is started, thereby shortening the information acquisition path of the user, reducing the user operation and further effectively improving the use experience of the user.
Furthermore, in order to obtain a better usage experience for the user, in some embodiments, the method further includes, after step S104: and sending a prompt to the user to prompt the user whether to set the currently played content as the starting direct content.
That is to say, because the foregoing scheme is to directly play the program for the user after analysis, the played program obtained through analysis may have a deviation, which may cause the user not to actually enjoy the program, based on which, in this embodiment, a prompt is also sent to the user, and if the user determines to set the currently played content as the boot direct content after receiving the prompt, it indicates that the program content is indeed the content that the user wants to watch at the current time; and if the user refuses to set the currently played content as the starting-up direct content after receiving the prompt, the program content is indicated to be not the content which the user wants to watch at the current time, and the program content is not pushed any more when the user starts up next time and pushes the played content for the user. That is, through interaction with the user, optimization of push content can be achieved, and the user does not need to perform excessive operations, but only needs to confirm or reject.
In addition, corresponding to the setting and pushing method of the start-up direct favorite content provided by the embodiment, the embodiment of the application further provides a setting and pushing device of the start-up direct favorite content. The device is a functional module based on software, hardware or a combination thereof in the smart television for executing the method.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a device for setting and pushing favorite contents directly after booting according to an embodiment of the present disclosure. As shown in fig. 2, the apparatus includes at least:
the acquisition module 21 is used for acquiring historical watching data of a user;
the analysis module 22 is used for analyzing and obtaining the content preference and the use habit of the user according to the historical viewing data; the usage habits comprise frequency and distribution time periods;
a generating module 23, configured to perform personalized content calculation according to the content preference and the usage habit to generate a playlist;
and the playing module 24 is configured to select a corresponding content in the playing slip to play according to the current time when the smart television is turned on.
Optionally, the historical viewing data includes live channel viewing data and on-demand dedicated region viewing data;
the live channel watching data comprises a watching channel name, a watching channel time length, a watching live program name, a watching live program time length and a watching live program type; the on-demand special area watching data comprises a watching special area name, a watching special area time length, an on-demand program watching name, an on-demand program watching time length and an on-demand program watching type.
Further, the analysis module 22 is specifically configured to:
judging whether the corresponding watching channel name and the watching live program name are valid data or not according to the watching channel duration and the watching live program duration based on a preset duration threshold; and/or judging whether the corresponding watching special area name and the watching on-demand program name are valid data or not according to the watching special area time length and the watching on-demand program time length on the basis of a preset time length threshold value;
and analyzing the effective data in the historical watching data to obtain the content preference and the use habit of the user.
For a specific implementation method of the steps executed by each module in the apparatus, reference may be made to the foregoing method embodiment, which is not described herein again.
In addition, the embodiment of the present application further provides a smart television corresponding to the setting and pushing method for direct favorite content during booting provided by the above embodiment.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent television provided in the embodiment of the present application. As shown in fig. 3, the smart tv includes: the intelligent television comprises an intelligent television body and a controller arranged in the intelligent television body; the controller comprises a memory 31 and a processor 32 connected with the memory 31;
the memory 31 is used for storing a program, and the program is at least used for realizing the setting and pushing method of the direct favorite contents after starting up in the embodiment of the method;
the processor 32 is used to call and execute the program stored in the memory 31.
For specific implementation methods of each step of the method implemented by the program, reference may be made to the foregoing method embodiments, and details are not described here again.
By the scheme, the favorite contents of the user can be directly reached when the intelligent television is started, so that the information acquisition path of the user is shortened, the user operation is reduced, and the use experience of the user is effectively improved.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A method for setting and pushing direct favorite contents during startup is characterized by being applied to an intelligent television, and comprises the following steps:
collecting historical watching data of a user;
analyzing the historical watching data to obtain the content preference and the use habit of the user; the usage habits comprise frequency and distribution time periods;
performing personalized content calculation by combining the content preference and the use habit to generate a play sheet;
and when the intelligent television is started, selecting the corresponding content in the playing film list according to the current time to play.
2. The method of claim 1, wherein the historical viewing data comprises live channel viewing data and on-demand spot viewing data;
the live channel watching data comprises a watching channel name, a watching channel time length, a watching live program name, a watching live program time length and a watching live program type; the on-demand special area watching data comprises a watching special area name, a watching special area time length, an on-demand program watching name, an on-demand program watching time length and an on-demand program watching type.
3. The method of claim 2, wherein analyzing the historical viewing data to obtain the user's content preferences and usage habits comprises:
judging whether the corresponding watching channel name and the watching live program name are valid data or not according to the watching channel duration and the watching live program duration based on a preset duration threshold; and/or judging whether the corresponding watching special area name and the watching on-demand program name are valid data or not according to the watching special area time length and the watching on-demand program time length on the basis of a preset time length threshold value;
and analyzing the effective data in the historical watching data to obtain the content preference and the use habit of the user.
4. The method of claim 2, wherein the playlists comprise live playlists and on-demand playlists;
the live broadcast film list comprises a channel name, a program name and broadcast time; the on-demand playing film list comprises a district name, a program name and playing time.
5. The method of claim 5, wherein the generated playlist is stored in a predetermined format.
6. The method according to claim 1, wherein the selecting the corresponding content in the playlist to play according to the current time further comprises:
and sending a prompt to the user to prompt the user whether to set the currently played content as the starting direct content.
7. A device for setting and pushing favorite contents directly after starting up is applied to an intelligent television, and the device comprises:
the acquisition module is used for acquiring historical watching data of a user;
the analysis module is used for analyzing and obtaining the content preference and the use habit of the user according to the historical watching data; the usage habits comprise frequency and distribution time periods;
the generating module is used for carrying out personalized content calculation by combining the content preference and the use habit to generate a playing sheet;
and the playing module is used for selecting corresponding contents in the playing menu to play according to the current time when the intelligent television is started.
8. The apparatus of claim 7, wherein the historical viewing data comprises live channel viewing data and on-demand spot viewing data;
the live channel watching data comprises a watching channel name, a watching channel time length, a watching live program name, a watching live program time length and a watching live program type; the on-demand special area watching data comprises a watching special area name, a watching special area time length, an on-demand program watching name, an on-demand program watching time length and an on-demand program watching type.
9. The apparatus of claim 8, wherein the analysis module is specifically configured to:
judging whether the corresponding watching channel name and the watching live program name are valid data or not according to the watching channel duration and the watching live program duration based on a preset duration threshold; and/or judging whether the corresponding watching special area name and the watching on-demand program name are valid data or not according to the watching special area time length and the watching on-demand program time length on the basis of a preset time length threshold value;
and analyzing the effective data in the historical watching data to obtain the content preference and the use habit of the user.
10. An intelligent television, comprising: the intelligent television comprises an intelligent television body and a controller arranged in the intelligent television body;
the controller comprises a memory and a processor connected with the memory;
the memory for storing a program for implementing at least the method of any one of claims 1-6;
the processor is used for calling and executing the program stored in the memory.
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