CN107818110A - A kind of information recommendation method, device - Google Patents
A kind of information recommendation method, device Download PDFInfo
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- CN107818110A CN107818110A CN201610822052.6A CN201610822052A CN107818110A CN 107818110 A CN107818110 A CN 107818110A CN 201610822052 A CN201610822052 A CN 201610822052A CN 107818110 A CN107818110 A CN 107818110A
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- content recommendation
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- control instruction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The embodiment of the invention discloses a kind of information recommendation method and device, pointedly can push its information interested to user, lift Consumer's Experience.Present invention method includes：The user image data that receiving terminal is sent；User images are identified based on the user image data, obtain user profile；Corresponding first content recommendation is obtained according to the user profile；First content recommendation is sent to the terminal.
Description
Technical field
The present invention relates to computer networking technology, more particularly to a kind of information recommendation method and device.
Background technology
With the rapid development of computer networking technology, internet has become people's acquisition, the important of exchange of information is put down
Platform.Under this background, how to allow users to quickly, accurately find oneself needs, sense in the information ocean of Internet
The content of interest, it has also become internet further develops problem urgently to be resolved hurrily.
By taking content of multimedia as an example, the content of multimedia such as film, music and TV programme is growing daily,
While abundant multimedia resource is presented for user, the also broadcasting selection to user brings difficulty, it is difficult to allows user in magnanimity
Information service in face of quickly obtain oneself multimedia resource interested.
The content of the invention
The embodiments of the invention provide a kind of information recommendation method, pointedly can push its letter interested to user
Breath, lift Consumer's Experience.
First aspect of the embodiment of the present invention provides a kind of information recommendation method, applied to server, it is characterised in that bag
Include：
The user image data that receiving terminal is sent；
User images are identified based on the user image data, obtain user profile；
Corresponding first content recommendation is obtained according to the user profile；
First content recommendation is sent to the terminal.
Alternatively, described that user images are identified based on the user image data, obtaining user profile includes：
User characteristic data is extracted based on the user image data；
User profile is determined according to the user characteristic data.
Alternatively, it is described to be included according to corresponding first content recommendation of user profile acquisition：
The user interest data corresponding relation prestored based on user profile inquiry, is obtained and the user profile
Corresponding targeted customer's interesting data；
First content recommendation is generated based on targeted customer's interesting data；
Alternatively, it is described to be included according to corresponding first content recommendation of user profile acquisition：
Analyzed according to user's history behavior of the user profile to relative users；
First content recommendation is generated according to analysis result；
Alternatively, it is described to be included according to corresponding first content recommendation of user profile acquisition：
Resource data of the corresponding user in third-party application is accessed according to the user profile；
The resource data is analyzed；
First content recommendation is generated according to analysis result.
Alternatively, after the transmission content recommendation to the terminal, methods described also includes：
Receive the first control instruction that the terminal is sent；
Multi-medium data corresponding with first content recommendation is sent to the terminal according to first control instruction.
Alternatively, after the transmission content recommendation to the terminal, methods described also includes：
Receive the second control instruction that the terminal is sent；
Second content recommendation is obtained according to second control instruction and the user profile；
Second content recommendation is sent to the terminal.
Second aspect of the embodiment of the present invention provides a kind of information recommendation method, applied to terminal, including：
User images are gathered, obtain user image data；
The user image data is sent to server；
Receive the first content recommendation that the server is fed back based on the user image data.
Show first content recommendation.
Alternatively, after display first content recommendation, methods described also includes：
Receive the first control instruction of user；
First control instruction is sent to the server；
Receive more matchmakers corresponding with first content recommendation that the server is returned based on first control instruction
Volume data；
Play the multi-medium data.
Alternatively, after display first content recommendation, methods described also includes：
Receive the second control instruction of user；
Second control instruction is sent to the server；
Receive the second content recommendation that the server is fed back based on second control instruction and the user profile；
First content recommendation is updated to second content recommendation.
The third aspect of the embodiment of the present invention provides a kind of information recommending apparatus, applied to server, including：
First receiving unit, the user image data sent for receiving terminal；
Image identification unit, for user images to be identified based on the user image data, obtain user profile；
First acquisition unit, for obtaining corresponding first content recommendation according to the user profile；
First transmitting element, for sending first content recommendation to the terminal.
Alternatively, described image recognition unit includes：
Extraction unit, for extracting user characteristic data based on the user image data；
Determining unit, for determining user profile according to the user characteristic data.
Alternatively,
The acquiring unit includes：
Query unit, for the user interest data corresponding relation prestored based on user profile inquiry, obtain
Targeted customer's interesting data corresponding with the user profile；
Generation unit, for generating first content recommendation based on targeted customer's interesting data；
Or
The acquiring unit includes：
Analytic unit, for being analyzed according to user's history behavior of the user profile to relative users；
Generation unit, for generating first content recommendation according to analysis result；
Or
The acquiring unit includes：
Access unit, for accessing resource data of the corresponding user in third-party application according to the user profile；
Analytic unit, for analyzing the resource data；
Generation unit, for generating first content recommendation according to analysis result.
Alternatively, described device also includes：
Second receiving unit, the first control instruction sent for receiving the terminal；
Second transmitting element, for being sent and first content recommendation to the terminal according to first control instruction
Corresponding multi-medium data.
Alternatively, described device also includes：
3rd receiving unit, the second control instruction sent for receiving the terminal；
Second acquisition unit, for obtaining the second content recommendation according to second control instruction and the user profile；
3rd transmitting element, for sending second content recommendation to the terminal.
Fourth aspect of the embodiment of the present invention provides a kind of information recommendation terminal, applied to server, including：
Collecting unit, for gathering user images, obtain user image data；
First transmitting element, for sending the user image data to server；
First receiving unit, for receive the server based on the user image data feed back first recommend in
Hold.
Display unit, for showing first content recommendation.
Alternatively, described device also includes：
Second receiving unit, for receiving the first control instruction of user；
Second transmitting element, for sending first control instruction to the server；
3rd receiving unit, pushed away for receive that the server returned based on first control instruction with described first
Recommend multi-medium data corresponding to content；
Broadcast unit, for playing the multi-medium data.
Alternatively, described device also includes：
4th receiving unit, for receiving the second control instruction of user；
3rd transmitting element, for sending second control instruction to the server；
5th receiving unit, for receiving, the server is based on second control instruction and the user profile is fed back
The second content recommendation；
Updating block, for first content recommendation to be updated into second content recommendation.
In technical scheme provided in an embodiment of the present invention, the user image data that server can be sent based on terminal is used
Family image recognition, user profile is obtained, and corresponding first content recommendation is obtained to be pushed to terminal according to the user profile,
Therefore user can be identified relative to prior art, the embodiment of the present invention, is pushed away to provide personalization based on different user
Recommend, facilitate that user is quick, accurately finds oneself information interested.
Brief description of the drawings
Fig. 1 is information recommendation method one embodiment schematic diagram in the embodiment of the present invention；
Fig. 2 is another embodiment schematic diagram of information recommendation method in the embodiment of the present invention；
Fig. 3 is another embodiment schematic diagram of information recommendation method in the embodiment of the present invention；
Fig. 4 is information recommending apparatus one embodiment schematic diagram in the embodiment of the present invention；
Fig. 5 is another embodiment schematic diagram of information recommending apparatus in the embodiment of the present invention；
Fig. 6 is another embodiment schematic diagram of information recommending apparatus in the embodiment of the present invention；
Fig. 7 is another embodiment schematic diagram of information recommending apparatus in the embodiment of the present invention.
Embodiment
The embodiments of the invention provide a kind of information recommendation method and device, and it is interested pointedly can to push its to user
Information, lifted Consumer's Experience, be described in detail individually below.
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, the every other implementation that those skilled in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " " in description and claims of this specification and above-mentioned accompanying drawing
The (if present)s such as four " are for distinguishing similar object, without for describing specific order or precedence.It should manage
The data that solution so uses can exchange in the appropriate case, so that the embodiments described herein can be with except illustrating herein
Or the order beyond the content of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that
Cover it is non-exclusive include, for example, containing the process of series of steps or unit, method, system, product or equipment need not limit
In those steps or unit for clearly listing, but may include not list clearly or for these processes, method, production
The intrinsic other steps of product or equipment or unit.
It should be noted that in the present embodiment, terminal can include setting with sound, each electron-like of video playback capability
It is standby, such as TV, mobile phone etc., do not enumerate herein specifically, wherein, server is used to provide for above-mentioned each class of electronic devices
Sound, Video service, so that user passes through terminal experience multimedia service.
The information recommendation method in the embodiment of the present invention is described from the angle of server first below, refers to figure
1, information recommendation method one embodiment includes in the embodiment of the present invention：
101st, the user image data that receiving terminal is sent；
It is understood that in the present embodiment, under default trigger condition, terminal can gather user by camera
Image, to obtain the user image data of user.In actual application, above-mentioned trigger condition can include detecting user
Trigger a certain operation, such as play operation, power-on operation or detect user's change or new user etc. occur.Specifically
The trigger condition of user images is gathered to terminal herein and acquisition means do not limit.
Preferably, in the present embodiment, user image data can include user's face image data or user's posture
Data etc..
In the present embodiment, after the collection that terminal completes user image data, user image data can be sent to clothes
Business device.
102nd, user images are identified based on user image data；
In the present embodiment, server can be based on user images number after the user image data of terminal transmission is received
It is identified according to user images, obtains user profile.Wherein, the user profile can identify the information of user identity, example
Such as, the user profile can be user's name or the information for identifying user type, for example, sex types, age type
And user mood type etc..
Alternatively, in the present embodiment, user images are identified based on user image data, obtaining user profile can
With including：User characteristic data is extracted based on the user image data, user profile is determined further according to the user characteristic data.
For example, so that user image data includes user's face image data as an example, server can utilize recognition of face skill
Art is analyzed user's face image data, to extract facial image feature, wherein, above-mentioned facial image feature can include
The shape description of human face and they the distance between characteristic etc.；After above-mentioned facial image feature is obtained, server will
The facial image feature of said extracted scans for matching with the feature templates to prestore in database, by setting a threshold value,
When similarity exceedes this threshold value, then result matching obtained exports.
It is understood that in actual application, above-mentioned matching result can export the user to be a certain specific
User or a certain type of user, it can specifically be realized herein by setting feature templates.Such as, feature templates are individual personal to characterize
The characteristic set of part information, the then result finally exported can include identity such as title, the pet name or the code name of the user
Deng；Such as, feature templates for characterize male's facial image feature characteristic set, then the result finally exported can the user for man
Property；And for example, to characterize the characteristic set of all ages facial image feature, then the result finally exported can include feature templates
The user is teenager or children, old age etc.；And for example, feature templates are the feature for the facial image feature for characterizing all types of moods
Set, then it is happy class user, sentimental class user or class user tired out etc. that the result exported, which can include the user,.Herein, use
The classification of family type can need to carry out a variety of divisions according to theme, not limit herein.
103rd, corresponding first content recommendation is obtained according to user profile；
In the present embodiment, after the user profile of active user is obtained, server can be based on the user profile to use
Formulate personalized recommendation in family, it is ensured that the high specific aim and reliability of content recommendation.Below by way of example to how according to
Acquisition of information corresponding first content recommendation in family illustrates：
First, preset mode
Obtaining corresponding first content recommendation according to user profile can include：
The user interest data corresponding relation prestored based on user profile inquiry, obtains mesh corresponding with user profile
Mark user interest data；
First content recommendation is generated based on targeted customer's interesting data.
It is understood that under preset mode, user interest data corresponding relation is stored on the server in advance, its
In, user interest data corresponding relation record has the user interest data of at least one user or record to have at least a kind of user
User interest data.
For example, when user profile includes user's name, above-mentioned user interest data corresponding relation can be such as table 1 below：
Table 1
| User A1 | User B1 | User C1 | User D1 | User E1 |
| Interesting data A1 | Interesting data B1 | Interesting data C1 | Interesting data D1 | Interesting data E1 |
Based on table 1, when obtaining user profile and being such as identified as user C1, can be obtained based on the corresponding relation of the table with
Interesting data C1 corresponding to user C1, then the first content recommendation for being directed to the user C1 is generated based on interesting data C1.
For example, when user profile includes user type, above-mentioned user interest data corresponding relation can be such as table 2 below to table
4：
Table 2
| User type A2 | User type B2 | User type C2 | User type D2 | User type E2 |
| Interesting data A2 | Interesting data B2 | Interesting data C2 | Interesting data D2 | Interesting data E2 |
Based on table 2, when obtaining user profile and being such as identified as user type D2, can be obtained based on the corresponding relation of the table
To interesting data D2 corresponding with user type D2, then it is directed to the first of user type D2 based on interesting data D2 generations and pushes away
Recommend content.
Table 3
| Male user | Female user |
| Interesting data A3 | Interesting data B3 |
Based on table 3, when obtaining user profile and being such as identified as male user, can be obtained based on the corresponding relation of the table
Interesting data A3 corresponding with male user, then be directed to based on interesting data A3 generations in the first recommendation of the male user
Hold.
Table 4
| Old user | Middle aged user | Young user | Child user |
| Interesting data A4 | Interesting data B4 | Interesting data C4 | Interesting data D4 |
Based on table 4, when obtaining user profile and being such as identified as old user, can be obtained based on the corresponding relation of the table
Interesting data A4 corresponding with old user, then be directed to based on interesting data A4 generations in the first recommendation of the old user
Hold.
It is understood that in actual application, can be emerging with reference to corresponding to being pre-configured with different user profile
Interesting data sample database, certainly, intension configuration of the server to user profile can select a selection, also may be used in combination, i.e.,
Multi-user, multi-class interesting data sample database are built simultaneously, is not limited herein specifically.
2nd, historical behavior analysis mode
Obtaining corresponding first content recommendation according to user profile can include：
Analyzed according to user's history behavior of the user profile to relative users；
First content recommendation is generated according to analysis result.
It is understood that under historical behavior analysis mode, server, can be conventional to user after user profile is obtained
Historical behavior analyzed, such as when the history for analyzing user watches record, it is found that user's preferences wars is acute, then first recommends
Content can preferably recommend war acute.
In the present embodiment, when user profile includes user's name, above-mentioned user's history behavior can be on specific
The user's history behavior of individual consumer, then corresponding first content recommendation is different because of each user, for based on each individual consumer
The high targetedly content recommendation of formulation；When user profile includes user type, above-mentioned user's history behavior can be on
The user's history behavior of a certain type of user, then corresponding first content recommendation is different because of each user type, for based on each
The user type high targetedly content recommendation that user group works out in other words.
3rd, associated application mode
Obtaining corresponding first content recommendation according to user profile includes：
Resource data of the corresponding user in third-party application is accessed according to user profile；
Resource data is analyzed；
First content recommendation is generated according to analysis result.
It is understood that under associated application mode, server can be based on user profile and call corresponding user the
The resource data of tripartite's application, analysis sample is used as by the resource data by third-party application, to ensure that content recommendation is joined
The rich and relevance of data is examined, for example, after obtaining user profile and being such as identified as user M, accesses the bean cotyledon of the user M
Account, capture the related resource data under its bean cotyledon account, such as film for thumbing up, collecting or evaluating etc.；In another example
After being such as identified as user N to user profile, access the microblog account of the user N, capture under its microblog account on music or
The related resource data of person's film.
It should be noted that only illustrate that server is based on user profile acquisition corresponding first and pushed away with several examples above
The acquisition modes of content are recommended, in actual applications, server can be combined use to above-mentioned acquisition modes, can also use
Other acquisition modes, specifically obtain and every do not limit herein.
104th, the first content recommendation is sent to terminal.
In the present embodiment, first content recommendation can be sent to terminal by server after the first content recommendation is obtained,
To show above-mentioned first content recommendation from terminal to user.
In technical scheme provided in an embodiment of the present invention, the user image data that server can be sent based on terminal is used
Family image recognition, user profile is obtained, and corresponding first content recommendation is obtained to be pushed to terminal according to the user profile,
Therefore user can be identified relative to prior art, the embodiment of the present invention, is pushed away to provide personalization based on different user
Recommend, facilitate that user is quick, accurately finds oneself information interested.
Alternatively, after step 104, the present embodiment can further include：
The first control instruction that receiving terminal is sent；
Multi-medium data corresponding with the first content recommendation is sent to terminal according to the first control instruction.
I.e. user can be considered based on the first content recommendation of terminal display, if receiving, send receiving instruction, be used
The first content recommendation of current presentation is played in instruction terminal；Terminal first control corresponding to generation after receiving instruction is collected
System instruction, and obtain multi-medium data corresponding with first content recommendation from server.
Alternatively, after step 104, the present embodiment can further include：
The second control instruction that receiving terminal is sent；
Second content recommendation is obtained according to the second control instruction and user profile；
The second content recommendation is sent to terminal.
I.e. user, if not receiving, sends switching command when the first content recommendation based on terminal display is considered,
Renewal is switched over to the first content recommendation for instruction terminal；Terminal generated after the switching command is collected corresponding to second
Control instruction, and from server obtain reacquire content recommendation be the second content recommendation, until user send receiving instruction or
Person's exit instruction.
It is to be appreciated that in the present embodiment, user can input control instruction in a manner of finger manipulation terminal interface,
It can be sent and instructed with voice mode, or gesture, body gesture etc. do not limit specifically herein, and correspondingly, terminal can be with
The control instruction that identification technology corresponding to configuration is sent to above-mentioned user is identified, for example, terminal can configure speech recognition
Module, then control instruction can be sent to terminal by the way of voice answer-back, e.g., user can reply " receiving ", " not connect
By ", " exiting " etc..
Mainly the information recommendation method in the embodiment of the present invention is described from the angle of server above, below will
The information recommendation method in the embodiment of the present invention is described from the angle of terminal, referring to Fig. 2, believing in the embodiment of the present invention
Breath recommendation method one embodiment includes：
201st, user images are gathered, obtain user image data；
In the present embodiment, terminal includes at least one front camera and/or rear camera, and is taken the photograph by above-mentioned
As head collection user images.
It is understood that in the present embodiment, under default trigger condition, terminal can gather user by camera
Image, to obtain the user image data of user.In actual application, above-mentioned trigger condition can include detecting user
Trigger a certain operation, such as play operation, power-on operation or detect user's change or new user etc. occur.Specifically
The trigger condition of user images is gathered to terminal herein and acquisition means do not limit.
Preferably, in the present embodiment, user image data can include user's face image data or user's posture
Data etc..
202nd, user image data is sent to server；
The user image data can be sent to server, transfer to service by terminal after user image data is got
Device user image data is identified processing.In actual application, terminal can also be carried out first to user image data
Pretreatment, then user image data after pretreatment is sent to server.
203rd, the first content recommendation that the server is fed back based on user image data is received.
It is understood that in the present embodiment, server is after the user image data of terminal transmission is received, first
User images can be identified based on user image data, obtain user profile.Wherein, the user profile can be that mark is used
The information of family identity, for example, the user profile can be user's name or the information for identifying user type, for example, property
Other type, age type and user mood type etc..
Alternatively, in the present embodiment, user images are identified based on user image data, obtaining user profile can
With including：User characteristic data is extracted based on the user image data, user profile is determined further according to the user characteristic data.
For example, so that user image data includes user's face image data as an example, server can utilize recognition of face skill
Art is analyzed user's face image data, to extract facial image feature, wherein, above-mentioned facial image feature can include
The shape description of human face and they the distance between characteristic etc.；After above-mentioned facial image feature is obtained, server will
The facial image feature of said extracted scans for matching with the feature templates to prestore in database, by setting a threshold value,
When similarity exceedes this threshold value, then result matching obtained exports.
It is understood that in actual application, above-mentioned matching result can export the user to be a certain specific
User or a certain type of user, it can specifically be realized herein by setting feature templates.Such as, feature templates are individual personal to characterize
The characteristic set of part information, the then result finally exported can include identity such as title, the pet name or the code name of the user
Deng；Such as, feature templates for characterize male's facial image feature characteristic set, then the result finally exported can the user for man
Property；And for example, to characterize the characteristic set of all ages facial image feature, then the result finally exported can include feature templates
The user is teenager or children, old age etc.；And for example, feature templates are the feature for the facial image feature for characterizing all types of moods
Set, then it is happy class user, sentimental class user or class user tired out etc. that the result exported, which can include the user,.Herein, use
The classification of family type can need to carry out a variety of divisions according to theme, not limit herein.
After server obtains user profile based on user image data, server can obtain phase according to above-mentioned user profile
The first content recommendation for answering, specifically being retouched herein in regard to how server obtains corresponding first content recommendation according to user profile
The description for referring to step 103 in embodiment illustrated in fig. 1 is stated, here is omitted.
It should be noted that in the present embodiment, the first content recommendation is to be fed back by server based on user image data
Result, server can be based on the user image data be user formulate personalized recommendation, it is ensured that the principle of readjustment, restructuring, consolidation and improvement pair of content recommendation
Property and reliability.
204th, the first content recommendation is shown.
In the present embodiment, terminal can be entered after server obtains the first content recommendation to corresponding first content recommendation
Row display, to show recommendation results to user.
In technical scheme provided in an embodiment of the present invention, the user image data collected can be sent to service by terminal
Device, and receive the first content recommendation for being fed back by server based on the user image data, wherein, first content recommendation be by
User images are identified based on user image data for server, after obtaining user profile, are obtained further according to the user profile
The corresponding content recommendation arrived.Therefore relative to prior art, user can be identified for the embodiment of the present invention, so as to based on difference
User provides personalized recommendation, facilitates that user is quick, accurately finds oneself information interested.
Alternatively, after step 204, the present embodiment can further include：
Receive the first control instruction of user；
The first control instruction is sent to server；
The multi-medium data corresponding with the first content recommendation that the reception server is returned based on the first control instruction；
Play multi-medium data.
I.e. user can be considered based on the first content recommendation of terminal display, if receiving, send receiving instruction, be used
The first content recommendation of current presentation is played in instruction terminal；Terminal first control corresponding to generation after receiving instruction is collected
System instruction, and obtain multi-medium data corresponding with first content recommendation from server.
Alternatively, after step 204, the present embodiment can further include：
Receive the second control instruction of user；
The second control instruction is sent to server；
The second content recommendation that the reception server is fed back based on the second control instruction and user profile；
First content recommendation is updated to the second content recommendation.
I.e. user, if not receiving, sends switching command when the first content recommendation based on terminal display is considered,
Renewal is switched over to the first content recommendation for instruction terminal；Terminal generated after the switching command is collected corresponding to second
Control instruction, and from server obtain reacquire content recommendation be the second content recommendation, until user send receiving instruction or
Person's exit instruction.
It is to be appreciated that in the present embodiment, user can input control instruction in a manner of finger manipulation terminal interface,
It can be sent and instructed with voice mode, or gesture, body gesture etc. do not limit specifically herein, and correspondingly, terminal can be with
The control instruction that identification technology corresponding to configuration is sent to above-mentioned user is identified, for example, terminal can configure speech recognition
Module, then control instruction can be sent to terminal by the way of voice answer-back, e.g., user can reply " receiving ", " not connect
By ", " exiting " etc..
The information recommendation method in the embodiment of the present invention is entered from the actual interaction angle of server and terminal below
Row description, referring to Fig. 3, another embodiment of information recommendation method includes in the embodiment of the present invention：
301st, terminal collection user images, obtain user image data；
In the present embodiment, terminal includes at least one front camera and/or rear camera, and is taken the photograph by above-mentioned
As head collection user images.
It is understood that in the present embodiment, under default trigger condition, terminal can gather user by camera
Image, to obtain the user image data of user.In actual application, above-mentioned trigger condition can include detecting user
Trigger a certain operation, such as play operation, power-on operation or detect user's change or new user etc. occur.Specifically
The trigger condition of user images is gathered to terminal herein and acquisition means do not limit.
Preferably, in the present embodiment, user image data can include user's face image data or user's posture
Data etc..
302nd, terminal to server sends user image data；
The user image data can be sent to server, transfer to service by terminal after user image data is got
Device user image data is identified processing.In actual application, terminal can also be carried out first to user image data
Pretreatment, then user image data after pretreatment is sent to server.
303rd, user images are identified based on user image data for server；
In the present embodiment, server can be based on user images number after the user image data of terminal transmission is received
It is identified according to user images, obtains user profile.Wherein, the user profile can identify the information of user identity, example
Such as, the user profile can be user's name or the information for identifying user type, for example, sex types, age type
And user mood type etc..
Alternatively, in the present embodiment, user images are identified based on user image data, obtaining user profile can
With including：User characteristic data is extracted based on the user image data, user profile is determined further according to the user characteristic data.
For example, so that user image data includes user's face image data as an example, server can utilize recognition of face skill
Art is analyzed user's face image data, to extract facial image feature, wherein, above-mentioned facial image feature can include
The shape description of human face and they the distance between characteristic etc.；After above-mentioned facial image feature is obtained, server will
The facial image feature of said extracted scans for matching with the feature templates to prestore in database, by setting a threshold value,
When similarity exceedes this threshold value, then result matching obtained exports.
It is understood that in actual application, above-mentioned matching result can export the user to be a certain specific
User or a certain type of user, it can specifically be realized herein by setting feature templates.Such as, feature templates are individual personal to characterize
The characteristic set of part information, the then result finally exported can include identity such as title, the pet name or the code name of the user
Deng；Such as, feature templates for characterize male's facial image feature characteristic set, then the result finally exported can the user for man
Property；And for example, to characterize the characteristic set of all ages facial image feature, then the result finally exported can include feature templates
The user is teenager or children, old age etc.；And for example, feature templates are the feature for the facial image feature for characterizing all types of moods
Set, then it is happy class user, sentimental class user or class user tired out etc. that the result exported, which can include the user,.Herein, use
The classification of family type can need to carry out a variety of divisions according to theme, not limit herein.
304th, server obtains corresponding first content recommendation according to user profile；
In the present embodiment, after the user profile of active user is obtained, server can be based on the user profile to use
Family formulate personalized recommendation, it is ensured that the high specific aim and reliability of content recommendation, specifically herein in regard to server how according to
The description of corresponding first content recommendation of family acquisition of information refers to the description of step 103 in embodiment illustrated in fig. 1, herein no longer
Repeat.
305th, server sends the first content recommendation to terminal；
In the present embodiment, first content recommendation can be sent to terminal by server after the first content recommendation is obtained,
To show above-mentioned first content recommendation from terminal to user.
306th, terminal shows the first content recommendation；
In the present embodiment, terminal can be entered after server obtains the first content recommendation to corresponding first content recommendation
Row display, to show recommendation results to user.
In technical scheme provided in an embodiment of the present invention, the user image data that server can be sent based on terminal is used
Family image recognition, user profile is obtained, and corresponding first content recommendation is obtained to be pushed to terminal according to the user profile,
Therefore user can be identified relative to prior art, the embodiment of the present invention, is pushed away to provide personalization based on different user
Recommend, facilitate that user is quick, accurately finds oneself information interested.
Alternatively, after step 306, the present embodiment can further include：
Terminal receives the first control instruction of user；
Terminal to server sends the first control instruction；
Server sends multi-medium data corresponding with the first content recommendation according to the first control instruction to terminal；
Terminal plays multi-medium data.
I.e. user can be considered based on the first content recommendation of terminal display, if receiving, send receiving instruction, be used
The first content recommendation of current presentation is played in instruction terminal；Terminal first control corresponding to generation after receiving instruction is collected
System instruction, and obtain multi-medium data corresponding with first content recommendation from server.
Alternatively, after step 306, the present embodiment can further include：
Terminal receives the second control instruction of user；
Terminal to server sends the second control instruction；
Second content recommendation is obtained according to the second control instruction and user profile；
First content recommendation is updated to the second content recommendation by terminal.
I.e. user, if not receiving, sends switching command when the first content recommendation based on terminal display is considered,
Renewal is switched over to the first content recommendation for instruction terminal；Terminal generated after the switching command is collected corresponding to second
Control instruction, and from server obtain reacquire content recommendation be the second content recommendation, until user send receiving instruction or
Person's exit instruction.
The information recommendation method in the embodiment of the present invention is described above, below from the angle of server to this hair
Information recommending apparatus in bright embodiment is described, referring to Fig. 4, one implementation of information recommending apparatus in the embodiment of the present invention
Example includes：
First receiving unit 401, the user image data sent for receiving terminal；
Image identification unit 402, for user images to be identified based on the user image data, obtain user's letter
Breath；
First acquisition unit 403, for obtaining corresponding first content recommendation according to the user profile；
First transmitting element 404, for sending first content recommendation to the terminal.
Alternatively, in the present embodiment, described image recognition unit 402 can include：
Extraction unit, for extracting user characteristic data based on the user image data；
Determining unit, for determining user profile according to the user characteristic data.
Alternatively, in the present embodiment, the first acquisition unit 403 can include：
Query unit, for the user interest data corresponding relation prestored based on user profile inquiry, obtain
Targeted customer's interesting data corresponding with the user profile；
Generation unit, for generating first content recommendation based on targeted customer's interesting data；
Or
The first acquisition unit 403 includes：
Analytic unit, for being analyzed according to user's history behavior of the user profile to relative users；
Generation unit, for generating first content recommendation according to analysis result；
Or
The first acquisition unit 403 includes：
Access unit, for accessing resource data of the corresponding user in third-party application according to the user profile；
Analytic unit, for analyzing the resource data；
Generation unit, for generating first content recommendation according to analysis result.
Alternatively, in the present embodiment, described device can also include：
Second receiving unit, the first control instruction sent for receiving the terminal；
Second transmitting element, for being sent and first content recommendation to the terminal according to first control instruction
Corresponding multi-medium data.
Alternatively, in the present embodiment, described device can also include：
3rd receiving unit, the second control instruction sent for receiving the terminal；
Second acquisition unit, for obtaining the second content recommendation according to second control instruction and the user profile；
3rd transmitting element, for sending second content recommendation to the terminal.
In technical scheme provided in an embodiment of the present invention, the user image data that server can be sent based on terminal is used
Family image recognition, user profile is obtained, and corresponding first content recommendation is obtained to be pushed to terminal according to the user profile,
Therefore user can be identified relative to prior art, the embodiment of the present invention, is pushed away to provide personalization based on different user
Recommend, facilitate that user is quick, accurately finds oneself information interested.
The information recommending apparatus in the embodiment of the present invention is described from the angle of terminal below, referring to Fig. 5, this hair
Information recommending apparatus one embodiment includes in bright embodiment：
Collecting unit 501, for gathering user images, obtain user image data；
First transmitting element 502, for sending the user image data to server；
First receiving unit 503, recommend for receiving the server based on the user image data feeds back first
Content.
Display unit 504, for showing first content recommendation.
Alternatively, in the present embodiment, described device can also include：
Second receiving unit, for receiving the first control instruction of user；
Second transmitting element, for sending first control instruction to the server；
3rd receiving unit, pushed away for receive that the server returned based on first control instruction with described first
Recommend multi-medium data corresponding to content；
Broadcast unit, for playing the multi-medium data.
Alternatively, in the present embodiment, described device can also include：
4th receiving unit, for receiving the second control instruction of user；
3rd transmitting element, for sending second control instruction to the server；
5th receiving unit, for receiving, the server is based on second control instruction and the user profile is fed back
The second content recommendation；
Updating block, for first content recommendation to be updated into second content recommendation.
On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
The information recommending apparatus in the embodiment of the present invention is described the angle of slave module functional entity above, below
The information recommending apparatus in the embodiment of the present invention is described from the angle of hardware handles, referring to Fig. 6, the embodiment of the present invention
In another embodiment of information recommending apparatus include：
Receiver 601, transmitter 602, processor 603 and the (processor wherein in information recommending apparatus of memory 604
603 quantity can be one or more, in Fig. 6 by taking a processor 603 as an example).In some embodiments of the invention, receive
Device 601, transmitter 602, processor 603 and memory 604 can be connected by bus or other means, wherein, to pass through in Fig. 6
Exemplified by bus connection.
Wherein,
Pass through the operational order for calling memory 604 to store, processor 603, for performing following steps：
The user image data that receiving terminal is sent；
User images are identified based on the user image data, obtain user profile；
Corresponding first content recommendation is obtained according to the user profile；
First content recommendation is sent to the terminal.
In some embodiments of the invention, processor 603 is specifically used for performing following steps：
User characteristic data is extracted based on the user image data；
User profile is determined according to the user characteristic data.
In some embodiments of the invention, processor 603 is specifically used for performing following steps：
The user interest data corresponding relation prestored based on user profile inquiry, is obtained and the user profile
Corresponding targeted customer's interesting data；
First content recommendation is generated based on targeted customer's interesting data.
In some embodiments of the invention, processor 603 is specifically used for performing following steps：
Analyzed according to user's history behavior of the user profile to relative users；
First content recommendation is generated according to analysis result.
In some embodiments of the invention, processor 603 is specifically used for performing following steps：
Resource data of the corresponding user in third-party application is accessed according to the user profile；
The resource data is analyzed；
First content recommendation is generated according to analysis result.
In some embodiments of the invention, processor 603 is specifically used for performing following steps：
Receive the first control instruction that the terminal is sent；
Multi-medium data corresponding with first content recommendation is sent to the terminal according to first control instruction.
In some embodiments of the invention, processor 603 is specifically used for performing following steps：
Receive the second control instruction that the terminal is sent；
Second content recommendation is obtained according to second control instruction and the user profile；
Second content recommendation is sent to the terminal.
Fig. 7 is a kind of block diagram of information recommending apparatus 700 according to an exemplary embodiment.Reference picture 7, device
700 can include following one or more assemblies：Processing component 702, memory 704, power supply module 706, multimedia groupware
708, audio-frequency assembly 710, the interface 712 of input/output (I/O), sensor cluster 714, and communication component 716.
The integrated operation of the usual control device 700 of processing component 702, such as communicated with display, data, camera operation and note
The associated operation of record operation.Processing component 702 can carry out execute instruction including one or more processors 720, with completion
The all or part of step for the method stated.In addition, processing component 702 can include one or more modules, it is easy to processing component
Interaction between 702 and other assemblies.For example, processing component 702 can include multi-media module, to facilitate multimedia groupware
Interaction between 708 and processing component 702.
Memory 704 is configured as storing various types of data to support the operation in device 700.These data are shown
Example includes the instruction of any application program or method for being operated on device 700, picture, video etc..Memory 704 can be with
Realized by any kind of volatibility or non-volatile memory device or combinations thereof, such as static RAM
(SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), may be programmed
Read-only storage (PROM), read-only storage (ROM), magnetic memory, flash memory, disk or CD.
Power supply module 706 provides power supply for the various assemblies of device 700.Power supply module 706 can include power management system
System, one or more power supplys, and other components associated with generating, managing and distributing power supply for device 700.
Multimedia groupware 708 is included in the screen of one output interface of offer between described device 700 and user.One
In a little embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Curtain may be implemented as touch-screen, to receive the input signal from user.Touch panel includes one or more touch sensings
Device is with the gesture on sensing touch, slip and touch panel.The touch sensor can not only sensing touch or sliding action
Border, but also detect and touched or the related duration and pressure of slide with described.In certain embodiments, more matchmakers
Body component 708 includes a front camera and/or rear camera.When device 700 is in operator scheme, such as screening-mode or
During video mode, front camera and/or rear camera can receive outside multi-medium data.Each front camera and
Rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio-frequency assembly 710 is configured as output and/or input audio signal.For example, audio-frequency assembly 710 includes a Mike
Wind (MIC), when device 700 is in operator scheme, during such as call model, logging mode and speech recognition mode, microphone by with
It is set to reception external audio signal.The audio signal received can be further stored in memory 704 or via communication set
Part 716 is sent.In certain embodiments, audio-frequency assembly 710 also includes a loudspeaker, for exports audio signal.
I/O interfaces 712 provide interface between processing component 702 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and lock
Determine button.
Sensor cluster 714 includes one or more sensors, and the state for providing various aspects for device 700 is commented
Estimate.For example, sensor cluster 714 can detect opening/closed mode of device 700, and the relative positioning of component, for example, it is described
Component is the display and keypad of device 700, and sensor cluster 714 can be with 700 1 components of detection means 700 or device
Position change, the existence or non-existence that user contacts with device 700, the orientation of device 700 or acceleration/deceleration and device 700
Temperature change.Sensor cluster 714 can include proximity transducer, be configured to detect in no any physical contact
The presence of neighbouring object.Sensor cluster 714 can also include optical sensor, such as CMOS or ccd image sensor, for into
As being used in application.In certain embodiments, the sensor cluster 714 can also include acceleration transducer, gyro sensors
Device, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 716 is configured to facilitate the communication of wired or wireless way between device 700 and other equipment.Device
700 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.In an exemplary implementation
In example, communication component 716 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 716 also includes near-field communication (NFC) module, to promote junction service.Example
Such as, in NFC module radio frequency identification (RFID) technology can be based on, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology,
Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 700 can be believed by one or more application specific integrated circuits (ASIC), numeral
Number processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for performing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided
Such as include the memory 704 of instruction, above-mentioned instruction can be performed to complete the above method by the processor 720 of device 700.For example,
The non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk
With optical data storage devices etc..
A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is held by the processor of terminal
During row so that terminal is able to carry out a kind of information recommendation method, and methods described includes：
User images are gathered, obtain user image data；
The user image data is sent to server；
Receive the first content recommendation that the server is fed back based on the user image data.
Show first content recommendation.
In some embodiments of the invention, processing is additionally operable to perform following steps：
Receive the first control instruction of user；
First control instruction is sent to the server；
Receive more matchmakers corresponding with first content recommendation that the server is returned based on first control instruction
Volume data；
Play the multi-medium data.
In some embodiments of the invention, processing is additionally operable to perform following steps：
Receive the second control instruction of user；
Second control instruction is sent to the server；
Receive the second content recommendation that the server is fed back based on second control instruction and the user profile；
First content recommendation is updated to second content recommendation.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematical, for example, the unit
Division, only a kind of division of logic function, can there is other dividing mode, such as multiple units or component when actually realizing
Another system can be combined or be desirably integrated into, or some features can be ignored, or do not perform.It is another, it is shown or
The mutual coupling discussed or direct-coupling or communication connection can be the indirect couplings by some interfaces, device or unit
Close or communicate to connect, can be electrical, mechanical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part to be contributed in other words to prior art or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are causing a computer
Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment methods described of the present invention
Portion or part steps.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
Described above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to before
Embodiment is stated the present invention is described in detail, it will be understood by those within the art that：It still can be to preceding
State the technical scheme described in each embodiment to modify, or equivalent substitution is carried out to which part technical characteristic；And these
Modification is replaced, and the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (16)
- A kind of 1. information recommendation method, applied to server, it is characterised in that including：The user image data that receiving terminal is sent；User images are identified based on the user image data, obtain user profile；Corresponding first content recommendation is obtained according to the user profile；First content recommendation is sent to the terminal.
- 2. information recommendation method as claimed in claim 1, it is characterised in that described to be based on the user image data to user Image is identified, and obtaining user profile includes：User characteristic data is extracted based on the user image data；User profile is determined according to the user characteristic data.
- 3. information recommendation method as claimed in claim 1, it is characterised in thatIt is described to be included according to corresponding first content recommendation of user profile acquisition：The user interest data corresponding relation prestored based on user profile inquiry, is obtained corresponding with the user profile Targeted customer's interesting data；First content recommendation is generated based on targeted customer's interesting data；OrIt is described to be included according to corresponding first content recommendation of user profile acquisition：Analyzed according to user's history behavior of the user profile to relative users；First content recommendation is generated according to analysis result；OrIt is described to be included according to corresponding first content recommendation of user profile acquisition：Resource data of the corresponding user in third-party application is accessed according to the user profile；The resource data is analyzed；First content recommendation is generated according to analysis result.
- 4. information recommendation method as claimed any one in claims 1 to 3, it is characterised in that sent out described to the terminal After sending content recommendation, methods described also includes：Receive the first control instruction that the terminal is sent；Multi-medium data corresponding with first content recommendation is sent to the terminal according to first control instruction.
- 5. information recommendation method as claimed any one in claims 1 to 3, it is characterised in that sent out described to the terminal After sending content recommendation, methods described also includes：Receive the second control instruction that the terminal is sent；Second content recommendation is obtained according to second control instruction and the user profile；Second content recommendation is sent to the terminal.
- A kind of 6. information recommendation method, applied to terminal, it is characterised in that including：User images are gathered, obtain user image data；The user image data is sent to server；Receive the first content recommendation that the server is fed back based on the user image data.Show first content recommendation.
- 7. information recommendation method as claimed in claim 6, it is characterised in that the display first content recommendation it Afterwards, methods described also includes：Receive the first control instruction of user；First control instruction is sent to the server；Receive the multimedia number corresponding with first content recommendation that the server is returned based on first control instruction According to；Play the multi-medium data.
- 8. information recommendation method as claimed in claim 6, it is characterised in that the display first content recommendation it Afterwards, methods described also includes：Receive the second control instruction of user；Second control instruction is sent to the server；Receive the second content recommendation that the server is fed back based on second control instruction and the user profile；First content recommendation is updated to second content recommendation.
- A kind of 9. information recommending apparatus, applied to server, it is characterised in that including：First receiving unit, the user image data sent for receiving terminal；Image identification unit, for user images to be identified based on the user image data, obtain user profile；First acquisition unit, for obtaining corresponding first content recommendation according to the user profile；First transmitting element, for sending first content recommendation to the terminal.
- 10. information recommending apparatus as claimed in claim 9, it is characterised in that described image recognition unit includes：Extraction unit, for extracting user characteristic data based on the user image data；Determining unit, for determining user profile according to the user characteristic data.
- 11. information recommending apparatus as claimed in claim 9, it is characterised in thatThe first acquisition unit includes：Query unit, for based on the user interest data corresponding relation that prestores of user profile inquiry, obtaining and institute State targeted customer's interesting data corresponding to user profile；Generation unit, for generating first content recommendation based on targeted customer's interesting data；OrThe first acquisition unit includes：Analytic unit, for being analyzed according to user's history behavior of the user profile to relative users；Generation unit, for generating first content recommendation according to analysis result；OrThe first acquisition unit includes：Access unit, for accessing resource data of the corresponding user in third-party application according to the user profile；Analytic unit, for analyzing the resource data；Generation unit, for generating first content recommendation according to analysis result.
- 12. the information recommending apparatus as described in any one as described in claim 9 to 11, it is characterised in that described device is also wrapped Include：Second receiving unit, the first control instruction sent for receiving the terminal；Second transmitting element, it is corresponding with first content recommendation for being sent according to first control instruction to the terminal Multi-medium data.
- 13. the information recommending apparatus as described in any one as described in claim 9 to 11, it is characterised in that described device is also wrapped Include：3rd receiving unit, the second control instruction sent for receiving the terminal；Second acquisition unit, for obtaining the second content recommendation according to second control instruction and the user profile；3rd transmitting element, for sending second content recommendation to the terminal.
- A kind of 14. information recommending apparatus, applied to terminal, it is characterised in that including：Collecting unit, for gathering user images, obtain user image data；First transmitting element, for sending the user image data to server；First receiving unit, the first content recommendation fed back for receiving the server based on the user image data.Display unit, for showing first content recommendation.
- 15. information recommending apparatus as claimed in claim 14, it is characterised in that described device also includes：Second receiving unit, for receiving the first control instruction of user；Second transmitting element, for sending first control instruction to the server；3rd receiving unit, for receive that the server returned based on first control instruction with described first recommend in Multi-medium data corresponding to appearance；Broadcast unit, for playing the multi-medium data.
- 16. information recommending apparatus as claimed in claim 14, it is characterised in that described device also includes：4th receiving unit, for receiving the second control instruction of user；3rd transmitting element, for sending second control instruction to the server；5th receiving unit, the fed back for receiving the server based on second control instruction and the user profile Two content recommendations；Updating block, for first content recommendation to be updated into second content recommendation.
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| CN201610822052.6A CN107818110A (en) | 2016-09-13 | 2016-09-13 | A kind of information recommendation method, device |
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| CN201610822052.6A CN107818110A (en) | 2016-09-13 | 2016-09-13 | A kind of information recommendation method, device |
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Application publication date: 20180320 |