CN106446266A - Method for recommending favorite content to user and content recommending system - Google Patents
Method for recommending favorite content to user and content recommending system Download PDFInfo
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- CN106446266A CN106446266A CN201610908460.3A CN201610908460A CN106446266A CN 106446266 A CN106446266 A CN 106446266A CN 201610908460 A CN201610908460 A CN 201610908460A CN 106446266 A CN106446266 A CN 106446266A
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- identification code
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- personalized labels
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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 invention discloses a method for recommending favorite content to a user and a content recommending system. The method includes the steps of recognizing identity characteristics of the current operation user to form a user identification code, corresponding to the identity characteristics, of the current operation user; obtaining a personalized label corresponding to the user identification code of the current operation user, wherein the personalized label is formed by identifying the identity characteristics of the user, forming the user identification code corresponding to the identity characteristics, forming the operation record of the user identification code of the user according to operation behaviors of the user and counting and analyzing the operation record of the user; recommending the content to the current operation user according to the personalized label corresponding to the user identification code of the current operation user. By means of the method for recommending the favorite content to the user and the content recommending system, the content can be accurately recommended to different users on one user terminal.
Description
Technical field
The present invention relates to Smart Home technical field, more particularly to a kind of recommended users like method and the content of content
Commending system.
Background technology
Compared with traditional tv, user can not only by intelligent television watch TV programme, can also surf the Net, program request,
Net purchase etc..Due to magnanimity and the user watched initiative of resource, user is such not necessarily like programme televised live is watched, specific
What the time was passive receives limited live program channel.
But, while bringing abundant program resource to user, the program of magnanimity and resource are also brought very big to user
Puzzled, user does not often know oneself, and what this sees, or is difficult to find oneself content interested.
Although existing intelligent terminal can push content to user by way of pushing, often cannot basis
The hobby of different user and practical custom, carry out the push of personalization.
Content of the invention
The technical problem to be solved is to provide method and the commending contents that a kind of recommended users like content
System.
In order to solve the above problems, the invention provides a kind of method that recommended users like content, including：Identification is current
The identity characteristic of operation user, forms the user identification code of the current operation user corresponding with the identity characteristic；Obtain
Personalized labels corresponding with the identification code of the current operation user, the forming method of the personalized labels includes：Identification
The identity characteristic of user, forms user identification code corresponding with the identity characteristic, is formed according to the operation behavior of user and has
The operation note of the user identification code of the user, the operation note to the user carries out statistics and analysis, is formed and user
The corresponding personalized labels of identification code；According to the personalized labels that mates with the user identification code of the current operation user, to
Current operation user's content recommendation.So as to targetedly be recommended to meet the content of user preferences and custom to user,
Make commending contents more accurate.
Optionally, when the operation note quantity of user reaches threshold value, the operation note of the user is carried out statistics and
Analysis.Only when operation note reaches certain amount, precision of analysis could be improved.
Optionally, statistics and analysis are carried out to the operation note of the user of the number of thresholds being newly formed, and dynamic updates to be used
The personalized labels at family.With being continuously increased for operation note, the object of statistics and analysis also constantly changes, so as to continuous
The personalized labels of user are updated, with the hobby of user and the change of custom, the content that recommends to user is also adjusted therewith
Whole so that content recommendation is more accurate.
Optionally, the identity characteristic includes：One kind or several in fingerprint, gesture, facial characteristics, iris, eyeprint, sound
Kind.User's differentiation is carried out with identity characteristic, with more privacy and accuracy.
Optionally, also include：Sorted out according to user to user identification code, the user identification code for belonging to same user is equal
Corresponding identical personalized labels.
Optionally, also include：Operated according to the correction of user, the classification to user identification code and personalized labels are carried out
Correct.
Optionally, the operation note of user is uploaded to cloud server, by cloud server, the operation of user is remembered
Record carries out statistics and analysis, and server forms personalized labels beyond the clouds.Cloud server can connect multiple stage user terminal,
Even if user changes user terminal, it is also possible to which the operation note changed after user terminal by user carries out statistics and analysis.
For solving the above problems, technical scheme also provides a kind of content recommendation system, including：Identification mould
Block, for the identity characteristic of identifying user, and forms user identification code corresponding with the identity characteristic；Operation note module,
It is connected with the identification module, the operation behavior of user is formed use with the user corresponding with user identification code
The operation note of family identification code；Control module, is connected with the user terminal, for carrying out statistics and analysis to operation note,
The personalized labels of user are formed, is additionally operable to mate the identification code of current operation user with the personalized labels of user, and to
Display module recommends the content related to the personalized labels of current operation user coupling；Display module, with control module
Connection, the content related to the personalized labels of current operation user coupling that recommends for display control module.
Optionally, the control module is used for when the operation note quantity of user reaches threshold value, the behaviour to the user
Noting down carries out statistics and analysis.
Optionally, the control module be used for the user of number of thresholds to being newly formed operation note carry out statistics and
Analysis, dynamic updates the personalized labels of user.
Optionally, the control module includes：Processing unit, is connected with user terminal, for uniting to operation note
Meter and analysis, form the personalized labels of user；Memory element, is connected with the processing unit and identification module, is used for
The personalized labels and user identification code of storage user；Matching unit, is connected with the memory element and identification module,
The user identification code of current operation user is mated with personalized labels；Recommendation unit, with the matching unit and user terminal
Connection, for recommending the content related to the personalized labels of current operation user coupling to user terminal.
Optionally, the identification module includes：Fingerprint identification unit, gesture identification unit, facial characteristics identification are single
One or more in unit, iris identification unit, eyeprint recognition unit, acoustic recognition unit.
Optionally, the control module also includes：Sort out unit, for being sorted out according to user to user identification code；
The processing unit is additionally operable to make the user identification code for belonging to same user all correspond to identical personalized labels.
Optionally, the control module also includes error correction unit, has and is operated according to the correction of user, to user identification code
Classification and personalized labels corrected.
Optionally, the control module is located at cloud server.
Optionally, also include：Communication module, is connected with operation note module, for operation note is uploaded to control mould
Block.
The recommended users of the present invention like the method for content and content recommendation system, can be directed to same user terminal
Different users, the personalized labels according to user carry out the recommendation of individualized content；Also, when user changes user terminal
Afterwards, still for the user, personalized recommendation can be carried out so that commending contents are more intelligent.Also, can also be to user's
Personalized labels enter Mobile state renewal, so as to form new recommendation results, more conform to hobby and the custom of user.
Description of the drawings
Fig. 1 is the schematic flow sheet of the method that the recommended users of the embodiment of the invention like content；
Fig. 2 is the schematic flow sheet of the method for the formation user personality label of the embodiment of the invention；
Fig. 3 is the structural representation of the content recommendation system of the embodiment of the invention；
Fig. 4 is the structural representation of the content recommendation system of the embodiment of the invention；
Fig. 5 is the structural representation of the content recommendation system of the embodiment of the invention.
Specific embodiment
The recommended users for below in conjunction with the accompanying drawings present invention being provided like the method for content and the tool of content recommendation system
Body embodiment elaborates.
Refer to Fig. 1, be the embodiment of the invention recommended users like content method flow chart.
The recommended users like that the method for content includes：
Step S101：The identity characteristic of identification current operation user, forms corresponding with the identity characteristic described current
The user identification code of operation user.
The identity characteristic includes：One or more bands such as fingerprint, gesture, facial characteristics, iris, eyeprint or sound are useful
The feature of family personal sign.
Corresponding identification module can be passed through, the identity characteristic of user is identified, so as to distinguish different use
Family.User's differentiation is carried out with identity characteristic, with more privacy and accuracy.Different user can adopt similar identity characteristic
As identity, it is also possible to use different classes of identity characteristic as identity.
After the identity characteristic of identification current operation user, user identification code corresponding with the identity characteristic, example is formed
Such as fingerprint characteristic is directed to, by finding on fingerprint image " characteristic point ", such as destination node on fingerprint lines, bifurcation and turns
Break etc., then sets up the numeral expression of user fingerprints according to the characteristic of characteristic point, and the characteristic point of different conditions is with different numbers
Word represents, so as to form string number, as user identification code corresponding with the fingerprint.For other identity characteristics, also may be used
To convert thereof into numeral or alphabetical sequence, as user identification code corresponding with the identity characteristic.
Step S102：Obtain personalized labels corresponding with the user identification code of the current operation user.
The personalized labels are liked seeing comedy, watch the football game for hobby, the label of operating habit of user, such as user A
Match, concern haberdashery etc., the personalized labels of the user A can be：Comedy, football, dress ornament etc..The personalized labels
The label of time segment is can also be, such as user B likes seeing the soap that 8 points or so of morning sees news and 8 points of shelves of evening
Acute, then in 7～9 points of time periods, user B personalized labels are news, current events etc. in the morning；In 7～9 points of time periods of evening, use
The label of family B can be romantic play, idol play etc..
The personalized labels of the user, corresponding with the user identification code of the user.For example, the current operation of identification is used
Family identification code is compared with user identification code in data base, identification current operation user be user A, subsequently obtain user A
Personalized labels.
Step S103：According to personalized labels corresponding with the user identification code of the current operation user, grasp to current
Make user's content recommendation.
According to the personalized labels content of user, recommend the content related to label substance to user.For example, current operation
When user is user A, the personalized labels for obtaining user A include comedy, football, dress ornament etc., and user A is using user terminal
When, the contents such as comedy class film, TV play, football match, the advertisement of dress ornament correlation can be recommended to which, more targetedly.
The user terminal can be intelligent television, mobile terminal, computer etc..
When the current operation user of same user terminal changes, such as current operation user is replaced by user B, obtains
After the personalized labels of user B, according to the personalized labels of user B, recommend more to meet the content of user B hobby to user B.
So, for different users, different users are capable of identify that, personalized recommendation is realized, meet the demand of different user.
The user identification code of the user and personalized labels corresponding with the user identification code can be stored beyond the clouds
In server or movable memory equipment, it is preferred that be stored in cloud server, it is more beneficial for carrying out automatically user's identification.When
After user A changes user terminal, still can be by stored with cloud server or the movable memory equipment
User identification code compare and confirm the identity of user A, and obtain the personalized labels of user A, and then recommend symbol to user A
Close the content of its hobby.Even if subscriber terminal equipment changes, can still realize liking which for same user in
The recommendation of appearance, forms consistent interior perhaps advertisement and recommends.
The accuracy of user individual label has large effect to the accuracy of content recommendation.
Fig. 2 is refer to, is the schematic flow sheet of the forming method of the one of the present invention user individual label being embodied as.
The forming method of the personalized labels includes：
Step S201：The identity characteristic of identifying user, forms user identification code corresponding with the identity characteristic.Same use
Family may be with multiple user identification code, and a such as user is identified by fingerprint, eyeprint respectively, then formed respectively and refer to
Corresponding two user identification code of stricture of vagina, eyeprint.In this specific embodiment, also include to enter the identity code of same user
Row is sorted out.
Step S202：The operation note of the user identification code with the user is formed according to the operation behavior of user.
User is being operated to user terminal, for example, watch certain film, entertainment, cartoon, epic, open
Shopping website, study website etc., operation every time can all form a record, be included in the viewing of user in the operation note
The information such as appearance, type, and each is recorded the user identification code for all enclosing the user, corresponding with the user so as to be formed
Operation note.The operation note for being accompanied with the different user identification code of same user is considered the operation note of same user.
Step S203：Operation note to the user carries out statistics and analysis, forms corresponding with user identification code
Property label.
Each user has its specific custom and likes, and is reflected in the operation note of every day use user terminal
On.In turn, on the basis of based on a number of operation note, the operation note to a certain user carries out statistics and analysis
Hobby and the custom of the user can be obtained.In certain period of time, the operation note quantity of the user is more, and analysis is obtained
As a result more accurate.The operation note can be for the operation note of same user terminal, or for multiple use
The operation note of family terminal.
So, in a specific embodiment of the present invention, when the operation note quantity of user reaches threshold value, to institute
The operation note for stating user carries out statistics and analysis.The threshold value is too small, and analysis result can be caused inaccurate；And user preferences and
Custom is generally changed with the time, if the threshold value is excessive, the time span of operation note can be caused again oversize, analysis result
The hobby current with user and custom have gap.In a specific embodiment of the present invention, the threshold value can be set as
30.Based on certain statistical analysis algorithms, after carrying out statistics and analysis to the operation note of user, obtain user hobby and
Custom, forms personalized labels corresponding with the identification code of user, also, belongs to user identification code all corresponding phases of same user
Same personalized labels, so same user is identified with different identity characteristics, is all obtained in that similar recommendation results.
The operation note of user can be uploaded to cloud server, by cloud server, the operation note of user be entered
Row statistics and analysis.Cloud server can form the information database of a large number of users, connect multiple stage user terminal, even if user
Change user terminal, it is also possible to which the operation note changed after user terminal by user carries out statistics and analysis.The present invention its
In his specific embodiment, it is also possible to after locally statistics and analysis are carried out, by the user identification code of user and corresponding
Personalized labels are uploaded to cloud server preservation.
In order to improve the accuracy of personalized labels further, need to carry out the personalized labels real-time or periodically more
Newly.In a specific embodiment of the present invention, the operation note to the user of the number of thresholds being newly formed is counted
And analysis, with being continuously increased for operation note, the object of statistics and analysis also constantly changes, so as to constantly update user
Personalized labels, with the hobby of user and the change of custom, the content that recommends to user is also adjusted therewith so that pushed away
Recommend content more accurate.
Above-mentioned recommended users like that the method for content can be directed to different users, and the personalized labels according to user are carried out
The recommendation of individualized content；Also, after user changes user terminal, still personalized recommendation can be carried out for the user,
So that commending contents are more intelligent.Also, the personalized labels of user can also be entered with Mobile state renewal, so as to form new pushing away
Result is recommended, more conforms to hobby and the custom of user.
Fig. 3 is refer to, is the structural representation of the content recommendation system of the embodiment of the invention.
The content recommendation system includes：Identification module 301, operation note module 302, control module 303 and
Display module 303.
The identification module 301, for the identity characteristic of identifying user, and forms corresponding with the identity characteristic
User identification code.The identification module includes fingerprint identification unit, gesture identification unit, facial characteristics recognition unit, rainbow
One or more in film recognition unit, eyeprint recognition unit, acoustic recognition unit, for obtaining fingerprint, gesture, face spy
Levy, iris, eyeprint, sound etc. one or more with user personality mark features.The identification module 301 can set
It is placed on remote control, user terminal main body or single identity recognizer.The identification module 301 recognizes current operation use
After the identity characteristic at family, it is additionally operable to form user identification code corresponding with the identity characteristic.The user identification code is permissible
It is the optional network specific digit or alphabetical sequence that is set up according to the characteristic of the identity characteristic.
The operation note module 302, is connected with the identification module 301, for by the operation behavior shape of user
Become the operation note of the user identification code with the user.The operation note module 302 can be arranged at user terminal, institute
It can be one or more intelligent television, mobile terminal or computer etc. to state user terminal.User operating to user terminal,
For example watch certain film, entertainment, cartoon, epic, shopping website, study website etc. is opened, operation every time all can
A record is formed, in the operation note, includes the information such as viewing content, the type of user, the operation note module
302 record the user identification code for all enclosing the user for obtaining from identification module 301 by each, so as to be formed and the use
The corresponding operation note in family.The operation note module 302 can also be arranged at cloud server.
The control module 303, is connected with the operation note module 302, for being counted to operation note and being divided
Analysis, forms personalized labels corresponding with user identification code.The personalized labels reflect user specifically custom and happiness
Good.In a specific embodiment of the present invention, the control module 303 is used for reaching threshold when the operation note quantity of user
During value, the operation note to the user carries out statistics and analysis, and the threshold value can be set as 30.The control module 303
Cloud server can be arranged at, multiple user terminals with operation note module 302 can be connected, to a user all
Operation note in terminal all carries out statistics and analysis.In another embodiment of the present invention, the control module 302 is used
Statistics and analysis are carried out in the operation note of the user of the number of thresholds to being newly formed, with being continuously increased for operation note,
The object of statistics and analysis also constantly changes, so as to carrying out to the personalized labels of user in real time or regularly updating.Described
Control module 303 can also be arranged on user terminal, and the personalized labels for obtaining and corresponding user identification code are uploaded
Preserve to server end.
The control module 302 is additionally operable to mate the identification code of current operation user with the personalized labels of user, and
Recommend the content related to the personalized labels of current operation user coupling to display module 304.
The display module 304 is used for showing the content that the control module 302 is recommended, the display module 304 also may be used
To be arranged at user terminal.
In one particular embodiment of the present invention, identification module 301 obtains the identity characteristic of user A, B, C, point
Not Xing Cheng user A, B, C user identification code；User A, B, C are distinguished by operation note module 302 when using user terminal
Form the operation note of the user identification code for being attached with user A, B, C；Aforesaid operations record is sent by operation note module 302 again
To control module 303, by control module 303 for the operation note of user A, B, C, carry out statistics and analysis respectively, obtain three
Individual different personalized labels, correspond to the user identification code of user A, B, C respectively, and are stored.When user A is reused
During user terminal, identification module 301 obtains its identity characteristic, forms user identification code；By the current operation user's identification
Code is compared respectively with the user identification code of user A, B, C of 303 memory storage of control module, recognizes that current operation user is
User A, and the personalized labels of user A are obtained from control module 303；Control module 303 is according to the personalization mark of the user A
Sign, recommend the content related to the personalized labels to the user terminal that the user A is currently in use.
As user A, B, C are continued on to user terminal, the operation note that constantly updates, control module 303 is formed
It is analyzed for the operation note to updating, so as to be updated to the personalized labels of user A, B, C.The operation note
Module 302 can make the different terminal unit of multiple stage, be connected with control module 303 respectively, so, instant user more exchange device,
The control module 303 also can carry out accurately commending contents to user.
Fig. 4 is refer to, is the structural representation of the content recommendation system in another embodiment of the present invention.
The control module 303 includes：Processing unit 401, memory element 402, matching unit 403 and recommendation unit
404.
The processing unit 401, is connected with operation note module 302, for carrying out statistics and analysis, shape to operation note
Become the personalized labels of user.
The memory element 402, is connected with the processing unit 401 and identification module 301, for storing user's
Personalized labels and user identification code.
The matching unit 403, is connected with the memory element 402 and identification module 301, by current operation user
User identification code mate with personalized labels.
The recommendation unit 404, is connected with the matching unit 403 and display module 302, for display module 302
Recommend the content related to the personalized labels of current operation user coupling.
In other specific embodiments of the present invention, the control module of the content recommendation system can also be wrapped further
Include classification unit and error correction unit.The classification unit is used for being sorted out according to user to user identification code, and the process is single
Unit can cause to belong to the user identification code of same user and all correspond to identical personalized labels, and so same user is with different
Identity characteristic is identified, and is all obtained in that similar recommendation results.
Fig. 5 is refer to, in another embodiment of the present invention, the content recommendation system also includes communication module
305.
The communication module 305, is connected with control module 303 and operation note module 302 respectively, for by operation note
It is uploaded to control module 303；The communication module 305 is also connected with display module 304 and control module 303 respectively, for inciting somebody to action
The content that control module 303 is recommended is sent to display module 304.
In one particular embodiment of the present invention, the processing unit in the communication module 502 and control module 303
401st, recommendation unit 404 connects, and can also be connected with identification module 301, to obtain the user identification code of user.
The above commending system can be directed to different users, and the personalized labels according to user carry out individualized content
Recommendation；Also, after user changes user terminal, still personalized recommendation can be carried out for the user so that content is pushed away
Recommend more intelligent.Also, the personalized labels of user can also be entered with Mobile state renewal, so as to new recommendation results are formed, more
Plus meet hobby and the custom of user.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
Member, under the premise without departing from the principles of the invention, can also make some improvements and modifications, and these improvements and modifications also should be regarded as
Protection scope of the present invention.
Claims (16)
1. a kind of method that recommended users like content, it is characterised in that include：
The identity characteristic of identification current operation user, forms the user of the current operation user corresponding with the identity characteristic
Identification code；
Obtain personalized labels corresponding with the identification code of the current operation user, the forming method bag of the personalized labels
Include：The identity characteristic of identifying user, forms user identification code corresponding with the identity characteristic, according to the operation behavior shape of user
Become the operation note of the user identification code with the user, the operation note to the user carries out statistics and analysis, formed
Personalized labels corresponding with user identification code；
According to personalized labels corresponding with the user identification code of the current operation user, into current operation user recommendation
Hold.
2. the method that recommended users according to claim 1 like content, it is characterised in that when the operation note number of user
When amount reaches threshold value, the operation note to the user carries out statistics and analysis.
3. the method that recommended users according to claim 2 like content, it is characterised in that to the number of threshold values being newly formed
The operation note of the user of amount carries out statistics and analysis, and dynamic updates the personalized labels of user.
4. the method that recommended users according to claim 1 like content, it is characterised in that the identity characteristic includes：
One or more in fingerprint, gesture, facial characteristics, iris, eyeprint, sound.
5. the method that recommended users according to claim 1 like content, it is characterised in that also include：According to user couple
User identification code is sorted out, and the user identification code for belonging to same user all corresponds to identical personalized labels.
6. the method that recommended users according to claim 5 like content, it is characterised in that also include：According to user's
Operation is corrected, the classification and personalized labels to user identification code is corrected.
7. the method that recommended users according to claim 1 like content, it is characterised in that by the operation note of user
Cloud server is reached, statistics and analysis, and server shape beyond the clouds are carried out to the operation note of user by cloud server
Become personalized labels.
8. a kind of content recommendation system, it is characterised in that include：
Identification module, for the identity characteristic of identifying user, and forms user identification code corresponding with the identity characteristic；
Operation note module, is connected with the identification module, and the operation behavior of user is formed the use with the user
The operation note of family identification code；
Control module, is connected with the user terminal, for carrying out statistics and analysis to operation note, is formed and user identification code
Corresponding personalized labels, are additionally operable to mate the identification code of current operation user with the personalized labels of user, and to display
Module recommends the content related to the personalized labels of current operation user coupling；
Display module, is connected with control module, individual for mate with the current operation user of recommending of display control module
Property label correlation content.
9. content recommendation system according to claim 8, it is characterised in that the control module is used for when the operation of user
When record quantity reaches threshold value, the operation note to the user carries out statistics and analysis.
10. content recommendation system according to claim 9, it is characterised in that the control module is used for being newly formed
The operation note of user of number of thresholds carry out statistics and analysis, dynamic updates the personalized labels of user.
11. content recommendation systems according to claim 8, it is characterised in that the control module includes：Processing unit,
It is connected with user terminal, for carrying out statistics and analysis to operation note, forms personalized labels corresponding with user identification code；
Memory element, is connected with the processing unit and identification module, and the personalized labels and user for storing user are known
Other code；Matching unit, is connected with the memory element and identification module, by the user identification code of current operation user with individual
Property tag match；Recommendation unit, is connected with the matching unit and user terminal, for recommending to work as with described to user terminal
The content of the personalized labels correlation of front operation user coupling.
12. content recommendation systems according to claim 8, it is characterised in that the identification module includes：Fingerprint is known
In other unit, gesture identification unit, facial characteristics recognition unit, iris identification unit, eyeprint recognition unit, acoustic recognition unit
One or more.
13. content recommendation systems according to claim 8, it is characterised in that the control module also includes：Sort out single
Unit, for being sorted out according to user to user identification code；The processing unit is additionally operable to know the user for belonging to same user
Other code all corresponds to identical personalized labels.
14. content recommendation systems according to claim 13, it is characterised in that the control module also includes error correction list
Unit, for being operated according to the correction of user, the classification and personalized labels to user identification code is corrected.
15. content recommendation systems according to claim 8, it is characterised in that the control module is located at cloud server.
16. content recommendation systems according to claim 8, it is characterised in that also include：Communication module, with operation note
Module connects, for operation note is uploaded to control module.
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| CN110750719A (en) * | 2019-10-18 | 2020-02-04 | 重庆空间视创科技有限公司 | IPTV-based information accurate pushing system and method |
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