CN105554583A - Product recommendation method and device - Google Patents

Product recommendation method and device Download PDF

Info

Publication number
CN105554583A
CN105554583A CN201510918012.7A CN201510918012A CN105554583A CN 105554583 A CN105554583 A CN 105554583A CN 201510918012 A CN201510918012 A CN 201510918012A CN 105554583 A CN105554583 A CN 105554583A
Authority
CN
China
Prior art keywords
product
target person
program
target
time period
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
CN201510918012.7A
Other languages
Chinese (zh)
Inventor
张新亮
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.)
TVMining Beijing Media Technology Co Ltd
Original Assignee
TVMining Beijing Media 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 TVMining Beijing Media Technology Co Ltd filed Critical TVMining Beijing Media Technology Co Ltd
Priority to CN201510918012.7A priority Critical patent/CN105554583A/en
Publication of CN105554583A publication Critical patent/CN105554583A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/478Supplemental services, e.g. displaying phone caller identification, shopping application
    • H04N21/47815Electronic shopping
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management 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
    • H04N21/4508Management of client data or end-user data
    • H04N21/4532Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/472End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • H04N21/4722End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for requesting additional data associated with the content

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Human Computer Interaction (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a product recommendation method and device. The methods includes the following steps that: when a product search instruction is received, the characteristic information of products to be searched is obtained from the product search instruction; the figure identification information of a target figure concerned by a user is determined; a target product related to the figure identification information is obtained according to the characteristic information; and the target product is displayed. According to the product recommendation method and device provided by the technical schemes of the invention, all the products to be searched can be automatically obtained according to the characteristic information of the products to be searched in the product search instruction, so that the target product related to the figure identification information of the target figure concerned by the user can be automatically screened out from all the searched products, and the target product is displayed, and therefore, the target product related to the target figure can be recommended to the user, and thus, product search results are enriched, the choices of the user are enriched, and the user can be greatly facilitated.

Description

A kind of recommend method of product and device
Technical field
The present invention relates to Products Show technical field, particularly a kind of recommend method of product and device.
Background technology
At present; user is when doing shopping; shopping platform usually can according to the nearest searching record of user; recommend the Related product oneself paid close attention to recently to user, but these products are all based on nearest search, not comprehensively; the people often paid close attention to user has no relation; and the product searched out is all carry out arranging according to putting in order of giving tacit consent in this shopping platform, limitation is stronger, greatly have impact on the experience of user.
Summary of the invention
The invention provides a kind of recommend method and device of product, can according to the characteristic information of product to be searched in search instruction, automatically obtain all products to be searched, and then Automatic sieve selects the relevant target product of the personal identification information of the target person paid close attention to user from all products searched out, then this target product is shown, thus realize when user search product to be searched, can according to recent the paid close attention to target person of user, for user recommends the target product relevant to this target person, thus enriched product search result, enrich the selection of user, be very easy to user, as much as possible for user provides the brand that in product to be searched, user's most probable is liked or paid close attention to.
The invention provides a kind of recommend method of product, comprising: when receiving product search instruction, from described product search instruction, obtain the characteristic information of product to be searched;
Determine the personal identification information of the target person that user pays close attention to;
According to described characteristic information, obtain the target product relevant to described personal identification information;
Described target product is shown.
In one embodiment, the personal identification information of the target person that the described user of determination pays close attention to, comprising:
Determine the target person in the program play in preset time period;
Determine the one or more information in the clothing of the real name of the name of described target person in described program, described target person, described target person, the described target person target lines in described program.
In one embodiment, the described target person determined in the program play in preset time period, comprising:
Determine the protagonist personnel in the program play in described preset time period.
In one embodiment, the described target person determined in the program play in preset time period, comprising:
When described program comprises multiple, determine the common performer in the multiple described program play in described preset time period.
In one embodiment, described characteristic information comprises: the one or more information in the color of the title of described product, the numbering of described product, the image of described product, the calculated address of described product, the price of described product, described product.
The present invention also provides a kind of recommendation apparatus of product, comprising:
First acquisition module, for when receiving product search instruction, obtains the characteristic information of product to be searched from described product search instruction;
Determination module, for determining the personal identification information of the target person that user pays close attention to;
Second acquisition module, for according to described characteristic information, obtains the target product relevant to described personal identification information;
Display module, for showing described target product.
In one embodiment, described determination module comprises:
First determines submodule, for determining the target person in the program play in preset time period;
Second determines submodule, for determining the one or more information in the clothing of the real name of the name of described target person in described program, described target person, described target person, the described target person target lines in described program.
In one embodiment, described first determine submodule specifically for:
Determine the protagonist personnel in the program play in described preset time period.
In one embodiment, described first determine submodule concrete also for:
When described program comprises multiple, determine the common performer in the multiple described program play in described preset time period.
In one embodiment, described characteristic information comprises: the one or more information in the color of the title of described product, the numbering of described product, the image of described product, the calculated address of described product, the price of described product, described product.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
Can according to the characteristic information of product to be searched in search instruction, automatically obtain all products to be searched, and then Automatic sieve selects the relevant target product of the personal identification information of the target person paid close attention to user from all products searched out, then this target product is shown, thus realize when user search product to be searched, can according to recent the paid close attention to target person of user, for user recommends the target product relevant to this target person, thus enriched product search result, enrich the selection of user, be very easy to user, as much as possible for user provides the brand that in product to be searched, user's most probable is liked or paid close attention to.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from specification, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in write specification, claims and accompanying drawing and obtain.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for specification, together with embodiments of the present invention for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the flow chart of the recommend method of a kind of product according to an exemplary embodiment.
Fig. 2 is the flow chart of the recommend method of another kind of product according to an exemplary embodiment.
Fig. 3 is the block diagram of the recommendation apparatus of a kind of product according to an exemplary embodiment.
Fig. 4 is the block diagram of the recommendation apparatus of another kind of product according to an exemplary embodiment.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.
In correlation technique; user is when doing shopping; shopping platform usually can according to the nearest searching record of user; recommend the Related product oneself paid close attention to recently to user, but these products are all based on nearest search, not comprehensively; the people often paid close attention to user has no relation; and the product searched out is all carry out arranging according to putting in order of giving tacit consent in this shopping platform, limitation is stronger, greatly have impact on the experience of user.
In order to solve the problems of the technologies described above, disclosure embodiment provides a kind of recommend method of product, the method is applicable in the recommended program of product, system or device, its executive agent can be intelligent television, and this intelligent television can be the TV being provided with Android system, as shown in the step S101 in Fig. 1 to step S104, wherein
Step S101, when receiving product search instruction, obtains the characteristic information of product to be searched from described product search instruction;
Wherein, this characteristic information can be: the one or more information in the color of the title of product to be searched, the numbering of product to be searched, the image of product to be searched, the calculated address of product to be searched, the price of product to be searched, product to be searched.
Step S102, determines the personal identification information of the target person that user pays close attention to;
The target person that user pays close attention to can be that user is in the recent period by using certain account Register top box, performer in the various program such as the TV play play in the intelligent television watched, film, variety, amusement, also can be a certain famous person etc. that the communication applications program in the terminal by being connected with this intelligent television is added or paid close attention to, and this personal identification information can be this target person in the name of real-life Real Name, stage name, personage played the part of in a program which, clothing in a program which, lines in a program which, classics dressing etc. in a program which.
Step S103, according to described characteristic information, obtain the target product relevant to described personal identification information, wherein, this target product can be in product to be searched, the brand that target person is represented, such as: product to be searched is A, target person represented the product A with B brand, then target product is exactly the product A with B brand;
Step S104, shows described target product.
This Set Top Box is logged in the same account of use, in intelligent television during inputted search instruction, according to the characteristic information of product to be searched in search instruction, automatically can obtain all products to be searched, and then Automatic sieve selects the relevant target product of the personal identification information of the target person paid close attention to user from all products searched out, then this target product is shown, when just can be implemented in user search product to be searched, can according to recent the paid close attention to target person of user, for user recommends the target product relevant to this target person, thus enriched product search result, enrich the selection of user, be very easy to user, be the brand relevant to this target person that user provides user's most probable in product to be searched to like or pays close attention to as much as possible.
In addition, when display-object product, target product can be presented at before other products in all products searched out, and other products in all products searched out except this target product are presented at after target product, the product of this brand relevant to the target person that user pays close attention to is placed on position the most obvious, the most forward with regard to realizing by this, carry out prioritizing selection for user, and other products are shown according to the DISPLAY ORDER such as sales volume, price;
Certainly, if target product comprises multiple brand relevant to different target personage, then according to for showing the attention rate order from high to low of the plurality of different target personage, or can show according to the DISPLAY ORDER such as sales volume, price.
Finally, when recommending brand product (i.e. this target product) relevant to this target person for user, not only can recommend when the product that user search is identical with this brand product, and target product is shown, same account can also be used to log in the Set Top Box be connected with this intelligent television user, and then the product purchase website entered in intelligent television and when not inputting any search instruction, automatically recommend to user and show this target product.
As shown in Figure 2, in one embodiment, above-mentioned steps S102 can be performed as:
Step S201, determines the target person in the program play in preset time period;
Step S202, determines the one or more information in the clothing of the real name of the name of described target person in described program, described target person, described target person, the described target person target lines in described program.
Under normal conditions, the personage oneself liked often is there is in the program of user's viewing, thus, this target person is determined in the program can play in preset time period, and then determine target person institute's figure in this program name, in one or more information such as real-life real name, clothing in a program which, dress, target lines (as classical lines or the larger lines of impact), and by the personal identification information of this one or more information representatively this target person.
In one embodiment, above-mentioned steps S201 can be performed as:
Determine the protagonist personnel in the program play in described preset time period.
When in this preset time period, broadcast program is the program such as TV play, film, this target person can protagonist personnel in this preset time period in broadcast program, and when in this preset time period, broadcast program is the program such as variety, amusement, this target person can also be host or variety participant etc. in this preset time period in broadcast program.
In one embodiment, above-mentioned steps S201 also can be performed as:
When described program comprises multiple, determine the common performer in the multiple described program play in described preset time period.
When user watches multiple program in this preset time period and the plurality of program is all the programs such as TV play, film, this target person can be the common performer in the plurality of program, in addition, if common performer has multiple, then this target person can be all common performers, can be the performer that in common performer, popularity is the highest, common protagonist personnel etc.;
Certainly, institute plays multiple program in this preset time period when being all the programs such as variety, amusement, the co-anchor in all right multiple program of this target person or variety participant etc.
In one embodiment, described characteristic information comprises: the one or more information in the color of the title of described product, the numbering of described product, the image of described product, the calculated address of described product, the price of described product, described product.
This characteristic information can be above-mentioned one or more information, so that search out all products needing search according to this characteristic information, also can the product all to be searched searched out be screened further, system can also be made can to sort etc. to the product filtered out based on this characteristic information simultaneously.
As shown in Figure 3, the present invention also provides a kind of recommendation apparatus of product, comprising:
First acquisition module 301, for when receiving product search instruction, obtains the characteristic information of product to be searched from described product search instruction;
Determination module 302, for determining the personal identification information of the target person that user pays close attention to;
Second acquisition module 303, for according to described characteristic information, obtains the target product relevant to described personal identification information;
Display module 304, for showing described target product.
As shown in Figure 4, in one embodiment, described determination module 302 comprises:
First determines submodule 3021, for determining the target person in the program play in preset time period;
Second determines submodule 3022, for determining the one or more information in the clothing of the real name of the name of described target person in described program, described target person, described target person, the described target person target lines in described program.
In one embodiment, described first determine submodule 3021 specifically for:
Determine the protagonist personnel in the program play in described preset time period.
In one embodiment, described first determine submodule 3022 concrete also for:
When described program comprises multiple, determine the common performer in the multiple described program play in described preset time period.
In one embodiment, described characteristic information comprises: the one or more information in the color of the title of described product, the numbering of described product, the image of described product, the calculated address of described product, the price of described product, described product.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disc store and optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the flow chart of the method for the embodiment of the present invention, equipment (system) and computer program and/or block diagram.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can being provided to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computer or other programmable data processing device produce device for realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices is provided for the step realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.

Claims (10)

1. a recommend method for product, for intelligent television, is characterized in that, comprising:
When receiving product search instruction, from described product search instruction, obtain the characteristic information of product to be searched;
Determine the personal identification information of the target person that user pays close attention to;
According to described characteristic information, obtain the target product relevant to described personal identification information;
Described target product is shown.
2. method according to claim 1, is characterized in that,
The personal identification information of the target person that the described user of determination pays close attention to, comprising:
Determine the target person in the program play in preset time period;
Determine the one or more information in the clothing of the real name of the name of described target person in described program, described target person, described target person, the described target person target lines in described program.
3. method according to claim 2, is characterized in that,
The described target person determined in the program play in preset time period, comprising:
Determine the protagonist personnel in the program play in described preset time period.
4. method according to claim 2, is characterized in that,
The described target person determined in the program play in preset time period, comprising:
When described program comprises multiple, determine the common performer in the multiple described program play in described preset time period.
5. method according to any one of claim 1 to 4, is characterized in that,
Described characteristic information comprises: the one or more information in the color of the title of described product, the numbering of described product, the image of described product, the calculated address of described product, the price of described product, described product.
6. a recommendation apparatus for product, for intelligent television, is characterized in that, comprising:
First acquisition module, for when receiving product search instruction, obtains the characteristic information of product to be searched from described product search instruction;
Determination module, for determining the personal identification information of the target person that user pays close attention to;
Second acquisition module, for according to described characteristic information, obtains the target product relevant to described personal identification information;
Display module, for showing described target product.
7. device according to claim 6, is characterized in that,
Described determination module comprises:
First determines submodule, for determining the target person in the program play in preset time period;
Second determines submodule, for determining the one or more information in the clothing of the real name of the name of described target person in described program, described target person, described target person, the described target person target lines in described program.
8. device according to claim 7, is characterized in that,
Described first determine submodule specifically for:
Determine the protagonist personnel in the program play in described preset time period.
9. device according to claim 7, is characterized in that,
Described first determine submodule concrete also for:
When described program comprises multiple, determine the common performer in the multiple described program play in described preset time period.
10. the device according to any one of claim 6 to 9, is characterized in that,
Described characteristic information comprises: the one or more information in the color of the title of described product, the numbering of described product, the image of described product, the calculated address of described product, the price of described product, described product.
CN201510918012.7A 2015-12-10 2015-12-10 Product recommendation method and device Pending CN105554583A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510918012.7A CN105554583A (en) 2015-12-10 2015-12-10 Product recommendation method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510918012.7A CN105554583A (en) 2015-12-10 2015-12-10 Product recommendation method and device

Publications (1)

Publication Number Publication Date
CN105554583A true CN105554583A (en) 2016-05-04

Family

ID=55833485

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510918012.7A Pending CN105554583A (en) 2015-12-10 2015-12-10 Product recommendation method and device

Country Status (1)

Country Link
CN (1) CN105554583A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107318050A (en) * 2017-06-26 2017-11-03 深圳市九洲电器有限公司 Commodity shopping guide method and system based on set top box
CN108898457A (en) * 2018-06-22 2018-11-27 北京京东金融科技控股有限公司 Method and apparatus for output information

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101578862A (en) * 2006-09-11 2009-11-11 苹果公司 Media systems with integrated content searching
CN101465993B (en) * 2007-12-20 2011-09-07 艾科星科技公司 A receiving device and method for presenting information about available programming
US20130163960A1 (en) * 2011-12-22 2013-06-27 Max Abecassis Identifying a performer during a playing of a video
CN103442252A (en) * 2013-08-21 2013-12-11 宇龙计算机通信科技(深圳)有限公司 Method and device for processing video
CN103702148A (en) * 2013-12-09 2014-04-02 乐视网信息技术(北京)股份有限公司 Method and device for displaying pushed information
CN103747293A (en) * 2014-01-10 2014-04-23 北京酷云互动科技有限公司 Television program-associated product recommending method and recommending device
CN103888812A (en) * 2014-04-02 2014-06-25 深圳创维-Rgb电子有限公司 Information processing method based on cloud TV and cloud TV system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101578862A (en) * 2006-09-11 2009-11-11 苹果公司 Media systems with integrated content searching
CN101465993B (en) * 2007-12-20 2011-09-07 艾科星科技公司 A receiving device and method for presenting information about available programming
US20130163960A1 (en) * 2011-12-22 2013-06-27 Max Abecassis Identifying a performer during a playing of a video
CN103442252A (en) * 2013-08-21 2013-12-11 宇龙计算机通信科技(深圳)有限公司 Method and device for processing video
CN103702148A (en) * 2013-12-09 2014-04-02 乐视网信息技术(北京)股份有限公司 Method and device for displaying pushed information
CN103747293A (en) * 2014-01-10 2014-04-23 北京酷云互动科技有限公司 Television program-associated product recommending method and recommending device
CN103888812A (en) * 2014-04-02 2014-06-25 深圳创维-Rgb电子有限公司 Information processing method based on cloud TV and cloud TV system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107318050A (en) * 2017-06-26 2017-11-03 深圳市九洲电器有限公司 Commodity shopping guide method and system based on set top box
CN108898457A (en) * 2018-06-22 2018-11-27 北京京东金融科技控股有限公司 Method and apparatus for output information

Similar Documents

Publication Publication Date Title
CN102290082B (en) Method and device for processing brilliant video replay clip
CN104822074B (en) A kind of recommendation method and device of TV programme
US10642880B2 (en) System and method for improved video streaming
WO2017190471A1 (en) Method and device for processing tv shopping information
CN109889880B (en) Information display method, device, equipment and storage medium for concerned user
US20160063615A1 (en) Marketing Products in Dynamic Content
CN110209843A (en) Multimedia resource playback method, device, equipment and storage medium
US20150039608A1 (en) Media content rankings for discovery of novel content
EP2835979A1 (en) Attribute setting method and device
EP2994873A1 (en) Event-related media management system
CN105872786B (en) A kind of method and device for launching advertisement by barrage in a program
CN102349048A (en) Accessing item information for item selected from a displayed image
CN113852832B (en) Video processing method, device, equipment and storage medium
CN103369408B (en) Method for the content channel using user feedback
CN107682717A (en) Service recommendation method, device, equipment and storage medium
CN112507163A (en) Duration prediction model training method, recommendation method, device, equipment and medium
US20230421859A1 (en) Systems and methods for recommending content using progress bars
KR20130009360A (en) Method and system for providing movie recommendation service
CN107635153A (en) A kind of exchange method and system based on image data
JP6291041B2 (en) Search recommendation method and apparatus
KR20160027486A (en) Apparatus and method of providing advertisement, and apparatus and method of displaying advertisement
KR102245492B1 (en) electronic terminal device for providing a style checking function of a user based on a clothing image selected by a user
CN105554583A (en) Product recommendation method and device
US11055294B2 (en) Communication terminal, content server, content recommendation system, control device, and control method
CN103369375B (en) Method and apparatus for content channel

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20160504