CN108289230A - A kind of recommendation method, apparatus, equipment and the storage medium of TV shopping content - Google Patents
A kind of recommendation method, apparatus, equipment and the storage medium of TV shopping content Download PDFInfo
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- CN108289230A CN108289230A CN201810141779.7A CN201810141779A CN108289230A CN 108289230 A CN108289230 A CN 108289230A CN 201810141779 A CN201810141779 A CN 201810141779A CN 108289230 A CN108289230 A CN 108289230A
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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
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
- H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
-
- 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
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
-
- 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
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/252—Processing of multiple end-users' preferences to derive collaborative 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
- H04N21/254—Management at additional data server, e.g. shopping server, rights management server
- H04N21/2542—Management at additional data server, e.g. shopping server, rights management server for selling goods, e.g. TV shopping
-
- 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
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
-
- 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
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
- H04N21/47815—Electronic shopping
Abstract
The embodiment of the invention discloses a kind of recommendation method, apparatus, equipment and the storage mediums of TV shopping content.The method includes：The face characteristic that active user is detected by face recognition technology sends the log-in instruction of the face characteristic comprising the active user to TV service end, wherein the log-in instruction, which is used to indicate the TV service end, executes following operation：Face characteristic according to the active user determines current crowd's classification belonging to active user and the current shopping point of interest of active user, and the shopping resource of active user is determined according to current crowd's classification and current shopping point of interest；Obtain the shopping resource of the TV service end push.The recommendation of more accurate, personalized and hommization TV shopping resource may be implemented in the embodiment of the present invention, improves user's TV shopping experience effect.
Description
Technical field
The present embodiments relate to data analysis technique field more particularly to a kind of recommendation method of TV shopping content,
Device, equipment and storage medium.
Background technology
TV is as recreation center of family, and with popularizing for smart television, TV shopping has also gradually obtained more
The favor of extensive user.TV shopping is a kind of common home shopping pattern, including TV shopping video frequency program and TV
Shopping center text exhibition.
At present there are mainly two types of the push modes of TV shopping content：One is the live forms of home shopping channel；It is another
It is that shopping advertisement graph-text content is shown in smart television as column.But whether be which kind of form, TV shopping
Displaying is that unified displaying is united in this way since the user of viewing TV is different in gender, age, point of interest etc.
One displaying can not bring more feelings of freshness to user, can not catch user's required and not belonging to according to different people instantly
Property, different point of interest accurately recommended this to directly result in user and still remain TV shopping to repel and inflexible impression.
On the other hand, with the quickening pace of modern life and personal mobile device more and more occupies fragmentation time of people,
People are also greatly lowered stop for a long time time of viewing TV shopping content, unless the interest of viewer can be caught the first moment
Point and demand point, otherwise, viewer, which is likely to turn round, just to go to play mobile phone.Also, the push of existing TV shopping content is only
It is that can not be carried out according to the purchaser record of user personalized in order to which user's browse advertisements, user cannot directly be bought
Recommendation, cause user's buying experience poor.
The information of user how is accurately grabbed in a short time, and pushes the TV shopping for meeting user interest point
Content, be highly further study with it is improved.
Invention content
It, can be with an embodiment of the present invention provides a kind of recommendation method, apparatus, equipment and the storage medium of TV shopping content
The recommendation for realizing more accurate, personalized and hommization TV shopping resource, improves user's TV shopping experience effect.
In a first aspect, an embodiment of the present invention provides a kind of recommendation methods of TV shopping content, including：
The face characteristic that active user is detected by face recognition technology, it includes the current use to be sent to TV service end
The log-in instruction of the face characteristic at family, wherein the log-in instruction, which is used to indicate the TV service end, executes following operation：According to
The current shopping of the current crowd's classification and active user belonging to active user is determined according to the face characteristic of the active user
Point of interest, and determine according to current crowd's classification and current shopping point of interest the shopping resource of active user；
Obtain the shopping resource of the TV service end push.
Second aspect, the embodiment of the present invention additionally provide a kind of recommendation method of TV shopping content, including：
The log-in instruction that Television clients report is obtained, wherein passing through comprising the Television clients in the log-in instruction
The face characteristic for the active user that face recognition technology detects；
Face characteristic according to the active user determines current crowd's classification and active user belonging to active user
Current shopping point of interest；
The shopping resource of active user is determined according to current crowd's classification and current shopping point of interest, and will be determined
Shopping resource supplying give the Television clients.
The third aspect, the embodiment of the present invention additionally provide a kind of recommendation apparatus of TV shopping content, are set to TV visitor
Family end, the device include：
Instruction sending module, the face characteristic for detecting active user by face recognition technology, to TV service end
The log-in instruction for sending the face characteristic comprising the active user, wherein the log-in instruction is used to indicate the TV service
End executes following operation：Face characteristic according to the active user determines current crowd's classification belonging to active user and works as
The current shopping point of interest of preceding user, and determine active user's according to current crowd's classification and current shopping point of interest
Shopping resource；
Acquisition module is pushed, the shopping resource for obtaining the TV service end push.
Fourth aspect, the embodiment of the present invention additionally provide a kind of recommendation apparatus of TV shopping content, are set to TV clothes
Business end, the device include：
Instruction acquisition module, the log-in instruction reported for obtaining Television clients, wherein including in the log-in instruction
The face characteristic for the active user that the Television clients are detected by face recognition technology；
Interest point module, for determining current crowd's class belonging to active user according to the face characteristic of the active user
Other and active user current shopping point of interest；
Pushing module, the shopping for determining active user according to current crowd's classification and current shopping point of interest
Resource, and give determining shopping resource supplying to the Television clients.
5th aspect, the embodiment of the present invention additionally provide a kind of equipment, and the equipment includes：
One or more processors；
Storage device, for storing one or more programs；
When one or more of programs are executed by one or more of processors so that one or more of processing
Device realizes the TV shopping of the recommendation method or realization of TV shopping content as described in relation to the first aspect as described in relation to the first aspect
The recommendation method of TV shopping content described in the recommendation method and second aspect of content.
6th aspect, the embodiment of the present invention additionally provide a kind of computer readable storage medium, are stored thereon with computer
Program is realized the recommendation method of TV shopping content as described in relation to the first aspect or is realized such as when the program is executed by processor
The recommendation method of TV shopping content described in first aspect and the recommendation method of the TV shopping content described in second aspect.
The embodiment of the present invention by Television clients carry out recognition of face and send comprising face characteristic log-in instruction to
TV service end, TV service end determine the crowd's classification and shopping interest of active user according to the face characteristic of active user
Point, so that it is determined that the shopping resource of active user, and the resource supplying that will do shopping, to Television clients, Television clients obtain current
The shopping resource of user.Technical solution provided in an embodiment of the present invention can be directed to different users and provide more accurate, individual character
Change the recommendation with the TV shopping resource of hommization, improves user's TV shopping experience effect.
Description of the drawings
Fig. 1 is a kind of flow chart of the recommendation method of TV shopping content in the embodiment of the present invention one；
Fig. 2 is a kind of flow chart of the recommendation method of TV shopping content in the embodiment of the present invention two；
Fig. 3 is a kind of overall flow figure of the recommendation method of TV shopping content in the embodiment of the present invention three；
Fig. 4 is a kind of structural schematic diagram of the recommendation apparatus of TV shopping content in the embodiment of the present invention four；
Fig. 5 is a kind of structural schematic diagram of the recommendation apparatus of TV shopping content in the embodiment of the present invention five；
Fig. 6 is the structural schematic diagram of the equipment in the embodiment of the present invention six.
Specific implementation mode
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limitation of the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is a kind of flow chart of the recommendation method of TV shopping content in the embodiment of the present invention one, and the present embodiment can
The case where suitable for TV shopping commending contents, this method can be by being set to the recommendation of the TV shopping content of Television clients
Device executes, which may be used software and/or the mode of hardware is realized, for example, the device is configured in equipment.It should
Method can specifically include：
Step 110, the face characteristic that active user is detected by face recognition technology, it includes institute to be sent to TV service end
State the log-in instruction of the face characteristic of active user, wherein the log-in instruction be used to indicate the TV service end execute it is as follows
Operation：Face characteristic according to the active user determines working as current crowd's classification belonging to active user and active user
Preceding shopping point of interest, and determine according to current crowd's classification and current shopping point of interest the shopping resource of active user.
Wherein, the face recognition technology refers to identifying face using the computer technology that analysis is compared, and is based on people
The facial image or video of input is identified in face feature, first determines whether that it whether there is face, if there is people
Face then further provides the position of each face, the location information of size and each major facial organ, and according to these information
Possessed identity characteristic in each face is further extracted, and itself and known face are compared, to which identification is each
The identity of face.
The face characteristic can be inclusive to be detected and analyzed out to active user by face recognition technology
Not, the essential attribute information of multiple dimensions such as age, the state of mind, expression looks, ethnic group, accessory state, such as the age can be with
6 age brackets are divided into, every 10 years are an age bracket；Gender is man or female；The state of mind can be divided into it is fabulous, good,
General and very poor 4 states；Ethnic group can be divided into 4 white people, yellow, black race and brown kind of people ethnic groups.
The shopping point of interest can be TV service end in the preset initial interest of the material according to TV shopping resource
Constantly update what adjustment obtained on the basis of point.Specifically, presetting the process of initial point of interest can be：TV service end can be with
Batch uploads the material of TV shopping resource, including video material, store material and its corresponding displaying poster, and according to material
Content and advertisement mainly for target group, increase one or more default points of interest for each material.According to property at present,
Different weighted values is assigned to material, such as is accompanied by larger weighted value for the material of the shopping resource of emphasis popularization.The people
Realm can be that crowd is divided into different classifications, such as youth by TV service end previously according to characteristics such as gender and ages
Women and middle-aged male etc..And it is directed to different crowd's classifications, to select the point of interest that it meets per a kind of crowd's classification.
Specifically, when user is when the face login page of Television clients logs in, recognition of face skill can be passed through
Art detects the face characteristic of active user, and refers to the login of face characteristic of the TV service end transmission comprising the active user
It enables, wherein the log-in instruction, which is used to indicate the TV service end, executes following operation：Face according to the active user
Feature determines current crowd's classification belonging to active user and the current shopping point of interest of active user, and according to described current
Crowd's classification and current shopping point of interest determine the shopping resource of active user, wherein the shopping resource may include band
There is the money that the users such as the shopping video, shopping plaza and shopping poster of shopping phone or Quick Response Code of doing shopping can directly be bought
Source.
In the present embodiment, when Television clients detect that user creates event, it is current that camera acquisition can be opened
The facial image of user simultaneously obtains the facial image, and the face characteristic of the facial image is extracted by face recognition technology, will
The face characteristic is sent to the establishment that the TV service end carries out user as the face characteristic of new user.Wherein, described
The region of camera acquisition can be 120 degree of sector regions of 3 meters of perimeter in front of TV.
Step 120, the shopping resource for obtaining the TV service end push.
Specifically, obtaining the shopping resource of the TV service end push and showing user, user can be to the purchase
Goods and materials source is operated.If user has shopping to record, can also will do shopping relevant information, such as physical message, show
User.
In the present embodiment, the usage behavior number for the shopping resource that active user pushes TV service end can be obtained
According to, and the usage behavior data are reported into the TV service end, so that the TV service end is according to the usage behavior
The shopping of the usage behavior data update active user of other users is emerging in family account associated by data and Television clients
Interesting point.Wherein, the usage behavior data may include user behavior path, TV shopping exploitation displaying number, fall coke
Number clicks to enter number, the viewing data such as duration and purchaser record.Multiple users can be set in the family account.
It should be noted that the Television clients and the TV service end can be integrated in a smart television simultaneously
In, can also Television clients be arranged in smart television, TV service end be arranged in background server.
The present embodiment carries out recognition of face by Television clients and sends the log-in instruction comprising face characteristic to TV
Server-side, TV service end determine the crowd's classification and shopping point of interest of active user according to the face characteristic of active user, from
And determine the shopping resource of active user, and the resource supplying that will do shopping, to Television clients, Television clients obtain active user
Shopping resource.Technical solution provided in this embodiment is by face recognition technology and big data statistical analysis and TV shopping resource
Recommendation be combined, different user can be directed to and provided more precisely and the recommendation of personalized TV shopping resource, improved
User's TV shopping experience effect.
Embodiment two
Fig. 2 is a kind of flow chart of the recommendation method of TV shopping content in the embodiment of the present invention two, and the present embodiment can
The case where suitable for TV shopping commending contents, this method can be by being set to the recommendation of the TV shopping content at TV service end
Device executes, which may be used software and/or the mode of hardware is realized, for example, the device is configured in equipment.It should
Method can specifically include：
Step 210 obtains the log-in instruction that Television clients report, wherein including TV visitor in the log-in instruction
The face characteristic for the active user that family end is detected by face recognition technology.
Step 220, for each user in the family account associated by Television clients, the usage behavior according to the user
The usage behavior data of other users generate the shopping point of interest of the user in data and the family account.
Wherein, the account as unit of family can be arranged in smart television, and multiple use can be arranged in the family account
Family, if such as have 5 people in one family, 5 users can be set in family account.It, can be pre- before user logs in
Each user in family account is first created, and the face characteristic of each user is corresponded into record respectively, and is recorded each
The usage behavior data of user.The usage behavior data may include user behavior path, the displaying of TV shopping exploitation
Number falls burnt number, clicks to enter number, the viewing data such as duration and purchaser record.
Specifically, for each user in the family account associated by Television clients, TV service end can be according to this
The usage behavior data of other users generate the shopping interest of the user in the usage behavior data of user and the family account
Point.Illustratively, for the party A-subscriber in family account, if being illustrated by taking purchaser record as an example, A bought computer, then can give birth to
At the point of interest in relation to computer peripheral product, and if the party B-subscriber in family account bought mobile phone, party A-subscriber can also be given birth to
At the point of interest in relation to mobile phone peripheral product, so that party A-subscriber can be easily party B-subscriber's purchase product in family account；Together
Reason, if being illustrated for clicking to enter number, if party B-subscriber clicks to enter the relevant page of mobile phone and repeatedly remembers without purchase
Record can be then that party A-subscriber generates the point of interest in relation to mobile phone, so that party A-subscriber can be easily party B-subscriber's purchase in family account
Bull's machine.
In the present embodiment, in family account the usage behavior data of user can interact other side point of interest life
At, to different user recommend TV shopping resource have an impact, the hommization and personalization of recommendation can be improved.
Step 230, according to the active user face characteristic determine current crowd's classification belonging to active user and
The current shopping point of interest of active user.
Specifically, step 230 may include step 231 and step 232.
Step 231, will be each in the family account associated by the face characteristic of the active user and the Television clients
The face characteristic of user matches.
Specifically, will can respectively be used in the family account associated by the face characteristic of active user and the Television clients
The face characteristic at family carries out contrasting detection, if the value of similarity is higher than preset value, can determine successful match, enter step
232；If the value of similarity is less than preset value, it can determine that it fails to match, enters step 240.
Crowd's classification belonging to step 232, the user by successful match is determined as current crowd's classification, and will matching
The shopping point of interest of successful user is determined as the current shopping point of interest.
Specifically, if successful match, can determine crowd's classification belonging to the user of successful match in family account
For current crowd's classification, and the shopping point of interest of the user of successful match is determined as the current shopping point of interest.
If step 240, it fails to match, new user is created for the Television clients, and by the people of the active user
Face characteristic of the face feature as the new user.
Specifically, if active user is with each user in family account, it fails to match, and user can choose whether to carry out
The establishment of new user can carry out the establishment of new user, and TV is objective if the user belongs to one in the kinsfolk
The face characteristic for the active user that family end is sent is stored as the face characteristic of the new user.The user is new user
When, TV service end can determine its crowd's classification and shopping point of interest only according to the face characteristic of the user, and be purchased
The recommendation in goods and materials source, while receiving the usage behavior data of the user of Television clients record.
, can be without the establishment of new user if the user is not belonging to one in current home member, which can
The use of smart television is carried out with the identity of tourist, such as determines its crowd's classification and purchase only for the face characteristic of the user
Object point of interest, and the recommendation of shopping resource is carried out, but Television clients will not record the usage behavior data of the user, the use
The recommendation of the shopping resource at family is unrelated with the other users of current home.
Since new user is one in family account, shopping point of interest can in by family account other users shadow
It rings, to which the shopping resource recommended is also related to other users in family so that recommend more hommization.
Step 250, the shopping resource that active user is determined according to current crowd's classification and current shopping point of interest,
And give determining shopping resource supplying to the Television clients.
Specifically, TV service end can determine current use according to current crowd's classification and current shopping point of interest
The shopping resource at family, and give determining shopping resource supplying to the Television clients, wherein determining shopping resource is preferred
For the highest shopping resource of present weight value.If user has shopping to record, can also will do shopping relevant information, as logistics is believed
Breath etc., is sent to the Television clients.
In the present embodiment, TV service end can obtain the use for the active user that the Television clients report
Behavioral data, and can be according to other users in the family account associated by the usage behavior data and the Television clients
Usage behavior data update described in active user shopping point of interest so that push it is more accurate.
The present embodiment carries out recognition of face by Television clients and sends the log-in instruction comprising face characteristic to TV
Server-side, the face characteristic of TV service end active user and each user in the family account associated by the Television clients
Face characteristic is matched, and crowd's classification belonging to the user by successful match and shopping point of interest are determined as the current crowd
Classification and current shopping point of interest, so that it is determined that the shopping resource of active user, and will shopping resource supplying to Television clients,
Television clients obtain the shopping resource of active user.Technical solution provided in this embodiment is by face recognition technology and big data
Statistical analysis is combined with the recommendation of TV shopping resource, and the recommendation of each user in family account is influenced each other, can be with
The more precisely recommendation with personalized TV shopping resource is provided for different users, and the human nature of recommendation can be improved
Change, improves user's TV shopping experience effect.
Embodiment three
The present embodiment can provide a kind of example based on above-described embodiment, to the recommendation method of TV shopping content
Overall flow illustrates.Fig. 3 is a kind of overall flow of the recommendation method of TV shopping content in the embodiment of the present invention three
Figure, Television clients and TV service end can be integrated in simultaneously in a smart television, correspondingly, the method tool of the present embodiment
Body includes：
Step 301, the facial image for obtaining camera acquisition.
In the present embodiment, the camera can be arranged in smart television, the smart television can be based on
The smart television of android system.
Specifically, when user is when the face login page of Television clients logs in, camera acquisition can be opened
The facial image of active user, the Television clients obtain the facial image.
Step 302, recognition of face and face characteristic extraction.
Specifically, facial image of the Television clients by face recognition technology recognition detection active user, to currently using
The face characteristic at family extracts.
Step 303 sends log-in instruction.
Specifically, Television clients can send the login of the face characteristic comprising the active user to TV service end
Instruction, the log-in instruction are used to indicate TV service end and execute following operation：Face characteristic according to the active user is true
Determine current crowd's classification belonging to active user and the current shopping point of interest of active user, and according to current crowd's class
And currently shopping point of interest does not determine the shopping resource of active user.Television clients send log-in instruction to TV service
End, TV service end execute step 306.
Step 304, the shopping resource for obtaining push.
Specifically, Television clients can obtain the shopping money for the active user that TV service end pushes in the step 310
Source simultaneously shows user.
Step 305, acquisition usage behavior Data Concurrent are sent.
Specifically, Television clients can obtain the usage behavior for the shopping resource that active user pushes TV service end
Data, and the usage behavior data are reported into the TV service end, so that the TV service end uses row according to described
For the shopping of the usage behavior data update active user of other users in the family account associated by data and Television clients
Point of interest.Wherein, the usage behavior data may include user behavior path, TV shopping exploitation displaying number, fall
Burnt number clicks to enter number, the viewing data such as duration and purchaser record.Television clients are by the usage behavior number of active user
According to TV service end is sent to, TV service end executes step 312.
Wherein, step 301 to step 305 can execute in Television clients.
The log-in instruction that step 306, acquisition report.
Specifically, TV service end can obtain the people for including active user that Television clients report in step 303
The log-in instruction of face feature.
Step 307, for each user, according to other users in the usage behavior data of the user and the family account
Usage behavior data generate the shopping point of interest of the user.
Specifically, TV service end is directed to each user in family account in advance, the user of storage can be made
Usage behavior data with other users in behavioral data and family account are for statistical analysis, generate the shopping interest of the user
Point.
Step 308 matches current face characteristic with the face characteristic of each user in family account.
Specifically, TV service end can will be in the face characteristic and family account of the active user in the log-in instruction
The face characteristic of each user match, judge whether active user belongs to existing user, work as successful match, then execute step
Rapid 309, it fails to match, thens follow the steps 311.
Step 309, successful match then determine current crowd's classification and shopping point of interest.
If specifically, successful match, crowd's classification belonging to the user by successful match is determined as the crowd of active user
Classification, and the shopping point of interest of the user of successful match is determined as to the shopping point of interest of active user.
Step 310 determines shopping resource according to current crowd's classification and shopping point of interest and pushes.
Specifically, TV service end can determine corresponding shopping according to the crowd's classification and shopping point of interest of active user
Resource is simultaneously pushed to Television clients, and Television clients execute step 304.
Step 311, it fails to match then creates new user.
Specifically, if active user is with each user in family account, it fails to match, and user can choose whether to carry out
The establishment of new user can carry out the establishment of new user, and step on described if the user belongs to one in the kinsfolk
The face characteristic of active user in record instruction is stored as the face characteristic of the new user.The user is new user
When, TV service end can determine its crowd's classification and shopping point of interest only according to the face characteristic of the user, and be purchased
The recommendation in goods and materials source, while receiving the usage behavior data of the user of Television clients record.
, can be without the establishment of new user if the user is not belonging to one in current home member, which can
The use of smart television is carried out with the identity of tourist, such as determines its crowd's classification and purchase only for the face characteristic of the user
Object point of interest, and the recommendation of shopping resource is carried out, but Television clients will not record the usage behavior data of the user, the use
The recommendation of the shopping resource at family is unrelated with the other users of current home.
Since new user is one in family account, shopping point of interest can in by family account other users shadow
It rings, to which the shopping resource recommended is also related to other users in family so that recommend more hommization.
The usage behavior data that step 312, acquisition report, and according to usage behavior data update shopping point of interest.
Specifically, TV service end can obtain making for the active user that Television clients report in step 305
With behavioral data, and can be used according to other in the family account associated by the usage behavior data and the Television clients
The shopping point of interest of active user described in the usage behavior data update at family so that push is more accurate.
Wherein, step 306 to step 312 can execute in TV service end.
The present embodiment carries out recognition of face by Television clients and sends the log-in instruction comprising face characteristic to TV
Server-side, the face characteristic of TV service end active user and each user in the family account associated by the Television clients
Face characteristic is matched, and crowd's classification belonging to the user by successful match and shopping point of interest are determined as the current crowd
Classification and current shopping point of interest, so that it is determined that the shopping resource of active user, and will shopping resource supplying to Television clients,
Television clients obtain the shopping resource of active user.Technical solution provided in this embodiment is by face recognition technology and big data
Statistical analysis is combined with the recommendation of TV shopping resource, and the recommendation of each user in family account is influenced each other, can be with
The more precisely recommendation with personalized TV shopping resource is provided for different users, and the human nature of recommendation can be improved
Change, improves the TV shopping experience effect of user.
Example IV
Fig. 4 is a kind of structural schematic diagram of the recommendation apparatus of TV shopping content in the embodiment of the present invention four, the recommendation
Device can be set to Television clients, can specifically include：
Instruction sending module 410, the face characteristic for detecting active user by face recognition technology, to TV service
End sends the log-in instruction of the face characteristic comprising the active user, wherein the log-in instruction is used to indicate the TV clothes
Being engaged in, end execution is following to be operated：Face characteristic according to the active user determine current crowd's classification belonging to active user and
The current shopping point of interest of active user, and determine active user according to current crowd's classification and current shopping point of interest
Shopping resource；
Acquisition module 420 is pushed, the shopping resource for obtaining the TV service end push.
Further, which can also include point of interest update module, and the point of interest update module can specifically be used
In：
After the shopping resource for obtaining the TV service end push, the usage behavior data of active user are obtained, and
The usage behavior data are reported into the TV service end so that the TV service end according to the usage behavior data and
The shopping point of interest of the usage behavior data update active user of other users in family account associated by Television clients.
Further, which can also include user's creation module, and user's creation module specifically can be used for：
When detecting that user creates event, the facial image of camera acquisition is obtained；Extract the people of the facial image
The face characteristic is sent to the TV service end by face feature.
The recommendation apparatus of TV shopping content provided in an embodiment of the present invention can perform the embodiment of the present invention one and embodiment
The recommendation method of the three TV shopping contents provided, has the corresponding function module of execution method and advantageous effect.
Embodiment five
Fig. 5 is a kind of structural schematic diagram of the recommendation apparatus of TV shopping content in the embodiment of the present invention five, the recommendation
Device can be set to TV service end, can specifically include：
Instruction acquisition module 510, the log-in instruction reported for obtaining Television clients, wherein being wrapped in the log-in instruction
Face characteristic containing the active user that the Television clients are detected by face recognition technology；
Interest point module 520 works as forefathers for being determined according to the face characteristic of the active user belonging to active user
Realm not and active user current shopping point of interest；
Pushing module 530, for determining active user's according to current crowd's classification and current shopping point of interest
Shopping resource, and give determining shopping resource supplying to the Television clients.
Further, the interest point module 520 may include：
Interest points matching unit is used for the family associated by the face characteristic of the active user and the Television clients
The face characteristic of each user matches in the account of front yard；Crowd's classification belonging to user by successful match is determined as described current
Crowd's classification, and the shopping point of interest of the user of successful match is determined as the current shopping point of interest.
Further, the interest point module 520 can also include：
Point of interest generation unit, for will be associated by the face characteristic of the active user and the Television clients
Before the face characteristic of each user matches in family account, for each use in the family account associated by Television clients
Family, the usage behavior data according to other users in the usage behavior data of the user and the family account generate the user's
Shopping point of interest.
Further, the interest point module 520 can also include：
User's creating unit, for by the family associated by the face characteristic of the active user and the Television clients
After the face characteristic of each user matches in the account of front yard, if it fails to match, new user is created for the Television clients,
And using the face characteristic of the active user as the face characteristic of the new user.
Further, which can also include：
Point of interest update module, the usage behavior number for obtaining the active user that the Television clients report
According to, and according to the usage behavior of other users in the family account associated by the usage behavior data and the Television clients
The shopping point of interest of active user described in data update.
The recommendation apparatus of TV shopping content provided in an embodiment of the present invention can perform the embodiment of the present invention two and embodiment
The recommendation method of the three TV shopping contents provided, has the corresponding function module of execution method and advantageous effect.
Embodiment six
Fig. 6 is the structural schematic diagram of the equipment in the embodiment of the present invention six.Fig. 6 shows of the invention real suitable for being used for realizing
Apply the block diagram of the example devices 612 of mode.The equipment 612 that Fig. 6 is shown is only an example, should not be to the embodiment of the present invention
Function and use scope bring any restrictions.
As shown in fig. 6, equipment 612 is showed in the form of universal computing device.The component of equipment 612 may include but unlimited
In：One or more processor 616, system storage 628, connection different system component (including system storage 628 and place
Manage device 616) bus 618.
Bus 618 indicates one or more in a few class bus structures, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor 616 or total using the local of the arbitrary bus structures in a variety of bus structures
Line.For example, these architectures include but not limited to industry standard architecture (ISA) bus, microchannel architecture
(MAC) bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) are total
Line.
Equipment 612 typically comprises a variety of computer system readable media.These media can be it is any can be by equipment
612 usable mediums accessed, including volatile and non-volatile media, moveable and immovable medium.
System storage 628 may include the computer system readable media of form of volatile memory, such as deposit at random
Access to memory (RAM) 630 and/or cache memory 632.Equipment 612 may further include other removable/not removable
Dynamic, volatile/non-volatile computer system storage medium.Only as an example, storage system 634 can be used for read and write can not
Mobile, non-volatile magnetic media (Fig. 6 do not show, commonly referred to as " hard disk drive ").Although being not shown in Fig. 6, Ke Yiti
For the disc driver for being read and write to moving non-volatile magnetic disk (such as " floppy disk "), and to moving non-volatile light
The CD drive of disk (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driver
It can be connected with bus 618 by one or more data media interfaces.Memory 628 may include at least one program production
There is one group of (for example, at least one) program module, these program modules to be configured to perform of the invention each for product, the program product
The function of embodiment.
Program/utility 640 with one group of (at least one) program module 642, can be stored in such as memory
In 628, such program module 642 includes but not limited to operating system, one or more application program, other program modules
And program data, the realization of network environment may be included in each or certain combination in these examples.Program module 642
Usually execute the function and/or method in embodiment described in the invention.
Equipment 612 can also be logical with one or more external equipments 614 (such as keyboard, sensing equipment, display 624 etc.)
Letter, can also be enabled a user to one or more equipment interact with the equipment 612 communicate, and/or with make the equipment 612
Any equipment (such as network interface card, modem etc.) communication that can be communicated with one or more of the other computing device.This
Kind communication can be carried out by input/output (I/O) interface 622.Also, equipment 612 can also by network adapter 620 with
One or more network (such as LAN (LAN), wide area network (WAN) and/or public network, such as internet) communication.Such as
Shown in figure, network adapter 620 is communicated by bus 618 with other modules of equipment 612.It should be understood that although not showing in figure
Go out, other hardware and/or software module can be used with bonding apparatus 612, including but not limited to：It is microcode, device driver, superfluous
Remaining processing unit, external disk drive array, RAID system, tape drive and data backup storage system etc..
Processor 616 is stored in program in system storage 628 by operation, to perform various functions application and
Data processing, such as realize the recommendation method for the TV shopping content that the embodiment of the present invention is provided, this method includes：
The face characteristic that active user is detected by face recognition technology, it includes the current use to be sent to TV service end
The log-in instruction of the face characteristic at family, wherein the log-in instruction, which is used to indicate the TV service end, executes following operation：According to
The current shopping of the current crowd's classification and active user belonging to active user is determined according to the face characteristic of the active user
Point of interest, and determine according to current crowd's classification and current shopping point of interest the shopping resource of active user；
Obtain the shopping resource of the TV service end push.
It should be noted that Television clients and TV service end can integrate within one device simultaneously, may be implemented
The recommendation method for the TV shopping content that the embodiment of the present invention one, embodiment two and embodiment three are provided；It can also TV visitor
Family end is separately provided in a device, and TV service end is arranged in background server, and the embodiment of the present invention one may be implemented and carried
The recommendation method of the TV shopping content of confession.
Embodiment seven
The embodiment of the present invention seven additionally provides a kind of computer readable storage medium, is stored thereon with computer program, should
The recommendation method of the TV shopping content provided such as the embodiment of the present invention, this method packet are provided when program is executed by processor
It includes：
The face characteristic that active user is detected by face recognition technology, it includes the current use to be sent to TV service end
The log-in instruction of the face characteristic at family, wherein the log-in instruction, which is used to indicate the TV service end, executes following operation：According to
The current shopping of the current crowd's classification and active user belonging to active user is determined according to the face characteristic of the active user
Point of interest, and determine according to current crowd's classification and current shopping point of interest the shopping resource of active user；
Obtain the shopping resource of the TV service end push.
It should be noted that Television clients and TV service end can integrate within one device simultaneously, at this point, described
Computer program can execute the recommendation for the TV shopping content that the embodiment of the present invention one, embodiment two and embodiment three are provided
Method；Can also Television clients be separately provided in a device, TV service end be arranged in background server, at this point, described
Computer program can execute the recommendation method for the TV shopping content that the embodiment of the present invention one is provided.
The arbitrary of one or more computer-readable media may be used in the computer storage media of the embodiment of the present invention
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or
Device, or the arbitrary above combination.The more specific example (non exhaustive list) of computer readable storage medium includes：Tool
There are one or the electrical connection of multiple conducting wires, portable computer diskette, hard disk, random access memory (RAM), read-only memory
(ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-
ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable storage
Medium, which can be any, includes or the tangible medium of storage program, which can be commanded execution system, device or device
Using or it is in connection.
Computer-readable signal media may include in a base band or as the data-signal that a carrier wave part is propagated,
Wherein carry computer-readable program code.Diversified forms may be used in the data-signal of this propagation, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By instruction execution system, device either device use or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
It can be write with one or more programming languages or combinations thereof for executing the computer that operates of the present invention
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partly executes or executed on a remote computer or server completely on the remote computer on the user computer.
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including LAN (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as carried using Internet service
It is connected by internet for quotient).
Note that above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The present invention is not limited to specific embodiments described here, can carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out to the present invention by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
May include other more equivalent embodiments, and the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. a kind of recommendation method of TV shopping content, which is characterized in that including：
The face characteristic that active user is detected by face recognition technology is sent to TV service end comprising the active user
The log-in instruction of face characteristic, wherein the log-in instruction, which is used to indicate the TV service end, executes following operation：According to institute
The face characteristic for stating active user determines current crowd's classification belonging to active user and the current shopping interest of active user
Point, and determine according to current crowd's classification and current shopping point of interest the shopping resource of active user；
Obtain the shopping resource of the TV service end push.
2. according to the method described in claim 1, it is characterized in that, obtain TV service end push shopping resource it
Afterwards, further include：
The usage behavior data of active user are obtained, and the usage behavior data are reported into the TV service end, so that institute
State use of the TV service end according to other users in the family account associated by the usage behavior data and Television clients
Behavioral data updates the shopping point of interest of active user.
3. according to the method described in claim 1, it is characterized in that, the log-in instruction indicates the TV service end according to institute
The face characteristic for stating active user determines current crowd's classification belonging to active user and the current shopping interest of active user
Point, including：
The log-in instruction indicates the TV service end by the face characteristic of the active user and the Television clients institute
The face characteristic of each user matches in associated family account；And crowd's classification belonging to the user by successful match determines
For current crowd's classification, and the shopping point of interest of the user of successful match is determined as the current shopping point of interest.
4. according to the method described in claim 3, it is characterized in that, the log-in instruction is additionally operable to indicate the TV service end
By the face characteristic of each user in the family account associated by the face characteristic of the active user and the Television clients
Before being matched, following operation is also executed：
For each user in the family account associated by Television clients, the usage behavior data according to the user and the family
The usage behavior data of other users generate the shopping point of interest of the user in the account of front yard.
5. a kind of recommendation method of TV shopping content, which is characterized in that including：
The log-in instruction that Television clients report is obtained, wherein passing through face comprising the Television clients in the log-in instruction
The face characteristic for the active user that identification technology detects；
Face characteristic according to the active user determines working as current crowd's classification belonging to active user and active user
Preceding shopping point of interest；
Determine the shopping resource of active user according to current crowd's classification and current shopping point of interest, and by determining purchase
Goods and materials source is pushed to the Television clients.
6. according to the method described in claim 5, it is characterized in that, further including：
The usage behavior data for the active user that the Television clients report are obtained, and according to the usage behavior data
The purchase of active user described in usage behavior data update with other users in the family account associated by the Television clients
Object point of interest.
7. a kind of recommendation apparatus of TV shopping content, which is characterized in that including：
Instruction sending module, the face characteristic for detecting active user by face recognition technology are sent to TV service end
Include the log-in instruction of the face characteristic of the active user, is held wherein the log-in instruction is used to indicate the TV service end
The following operation of row：Face characteristic according to the active user determines current crowd's classification and current use belonging to active user
The current shopping point of interest at family, and determine according to current crowd's classification and current shopping point of interest the shopping of active user
Resource；
Acquisition module is pushed, the shopping resource for obtaining the TV service end push.
8. a kind of recommendation apparatus of TV shopping content, which is characterized in that including：
Instruction acquisition module, the log-in instruction reported for obtaining Television clients, wherein comprising described in the log-in instruction
The face characteristic for the active user that Television clients are detected by face recognition technology；
Interest point module, for according to the face characteristic of the active user determine current crowd's classification belonging to active user with
And the current shopping point of interest of active user；
Pushing module, the shopping money for determining active user according to current crowd's classification and current shopping point of interest
Source, and give determining shopping resource supplying to the Television clients.
9. a kind of equipment, which is characterized in that the equipment includes：
One or more processors；
Storage device, for storing one or more programs；
When one or more of programs are executed by one or more of processors so that one or more of processors are real
The now recommendation method of the TV shopping content as described in any one of claim 1-4；Alternatively, realizing as in claim 1-4
The recommendation side of the recommendation method of any one of them TV shopping content and TV shopping content described in claim 5 or 6
Method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The recommendation method of the TV shopping content as described in any one of claim 1-4 is realized when execution；Alternatively, realizing as right is wanted
Ask the recommendation method of the TV shopping content described in any one of 1-4 and TV shopping content described in claim 5 or 6
Recommendation method.
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Application publication date: 20180717 |