CN108965110A - A kind of friend recommendation method and device - Google Patents
A kind of friend recommendation method and device Download PDFInfo
- Publication number
- CN108965110A CN108965110A CN201810734688.4A CN201810734688A CN108965110A CN 108965110 A CN108965110 A CN 108965110A CN 201810734688 A CN201810734688 A CN 201810734688A CN 108965110 A CN108965110 A CN 108965110A
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- Prior art keywords
- user
- target user
- information
- public information
- recommended
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/52—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
Abstract
The present invention provides a kind of friend recommendation method and devices, are related to field of communication technology.Friend recommendation method and device of the invention, comprising: obtain user in user's set to be recommended and access the open message issued when social platform；Corresponding target user is chosen from user to be recommended set according to public information, obtains target user's set；Extract the social networks of target user's set；Local social network is constructed according to target user's set and social networks；User in local social network is recommended into active user.It using the above method and device, can be extended according to the social networks of target user, active user will be recommended with the target user that active user matches, improve the accuracy of recommendation.
Description
Technical field
The present invention relates to fields of communication technology, more particularly to a kind of friend recommendation method and device.
Background technique
As the friend relation between user continues to develop, social networks gradually forms various social circles, such as relative family
People's circle, work circle.The state of user can preferably be reflected in social circle locating for user, and application scenarios are extensive, such as good
Friend can recommend the good friend for being in same social circle in recommending to user, and can select in advertisement orientation has larger shadow in circle
The user for ringing power carries out advertisement and launches and then influence the user of same circle, social reference can be according to the circle locating for user
Differentiate its life, working condition, etc..
In the prior art, effectively recommended user it cannot want the people recognized, recommendation function accuracy is low.
Summary of the invention
It is soft to solve to recommend in the prior art it is an object of the present invention to provide a kind of friend recommendation method and device
Part recommends inaccuracy, the not high problem of utilization rate.
On the one hand, the present invention provides a kind of friend recommendation methods, comprising:
It obtains user in user's set to be recommended and accesses the open message issued when social platform；
Corresponding target user is chosen from user's set to be recommended according to the public information, obtains target user
Set；
Extract the social networks of target user's set；
Local social network is constructed according to target user set and the social networks；
User in the local social network is recommended into active user.
Optionally, choosing corresponding target user from recommended user set according to the public information includes:
The public information is decomposed, public information fragment is obtained；
The public information fragment is compared with presupposed information；
Corresponding target user is chosen from recommended user set according to comparison result.
Optionally, the presetting message is the message of active user setting, and the message of the setting includes text letter
One of breath, audio-frequency information or video information are a variety of.
Optionally, the public information fragment is compared with the presupposed information and includes:
If being determined as the high degree of correlation when in the public information fragment comprising all presupposed informations；If the disclosure
In information fragmentation when the presupposed information described comprising part, it is determined as the middle degree of correlation；If in the public information fragment not including institute
When stating presupposed information, it is determined as no degree of correlation；
Target user is divided into one group by the degree of correlation.
Optionally, extracting the social networks that the target user gathers includes:
Target user with the high degree of correlation is divided into target user's set；
Each user in target user set is disclosed into information common in message；
Social networks are determined according to the shared information.
On the other hand, the present invention also provides a kind of friend recommendation devices, comprising:
Acquiring unit is configured to obtain user in user's set to be recommended and accesses the open message issued when social platform；
Analytical unit is configured to choose corresponding target use from user's set to be recommended according to the public information
Family obtains target user's set；
Extraction unit is configured to extract the social networks of target user's set；
Processing unit is configured to be gathered according to the target user and the social networks constructs local social network；
Recommendation unit is configured to the user in the local social network recommending active user.
Optionally, the analytical unit is further configured to
The public information is decomposed, public information fragment is obtained；
The public information fragment is compared with presupposed information；
Corresponding target user is chosen from recommended user set according to comparison result.
Optionally, the extraction unit is further configured to
Target user with the high degree of correlation is divided into target user's set；
Each user in target user set is disclosed into information common in message；
Social networks are determined according to the shared information.
Friend recommendation method and device of the invention, comprising: obtain user in user's set to be recommended and access social platform
The open message of Shi Fabu；Corresponding target user is chosen from user to be recommended set according to public information, obtains target use
Family set；Extract the social networks of target user's set；Local social network is constructed according to target user's set and social networks；
User in local social network is recommended into active user.It, can be according to the society of target user using the above method and device
Friendship relationship extends, and will recommend active user with the target user that active user matches, improves the accuracy of recommendation.
According to the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will be brighter
The above and other objects, advantages and features of the present invention.
Detailed description of the invention
Some specific embodiments of the present invention is described in detail by way of example and not limitation with reference to the accompanying drawings hereinafter.
Identical appended drawing reference denotes same or similar part or part in attached drawing.It should be appreciated by those skilled in the art that these
What attached drawing was not necessarily drawn to scale.In attached drawing:
Fig. 1 is the exemplary process figure of friend recommendation method according to an embodiment of the invention；
Fig. 2 is the schematic apparatus figure of friend recommendation device according to an embodiment of the invention.
Specific embodiment
Fig. 1 is the exemplary process figure of friend recommendation method according to an embodiment of the invention.As shown in Figure 1, this hair
It is bright to provide a kind of friend recommendation method, comprising:
Step S101 obtains user in user's set to be recommended and accesses the open message issued when social platform；
Step S102 chooses corresponding target user from user to be recommended set according to public information, obtains target use
Family set；
Step S103 extracts the social networks of target user's set；
Step S104 constructs local social network according to target user's set and social networks；
User in local social network is recommended active user by step S105.
Further, choosing corresponding target user from recommended user's set according to public information includes:
Public information is decomposed, public information fragment is obtained；
Public information fragment is compared with presupposed information；
Corresponding target user is chosen from recommended user's set according to comparison result.
Further, presetting message is the message of active user's setting, and the message of setting includes text information, audio-frequency information
Or one of video information or a variety of.
Further, public information fragment is compared with presupposed information and includes:
If being determined as the high degree of correlation when in public information fragment comprising whole presupposed informations；If being wrapped in public information fragment
When presupposed information containing part, it is determined as the middle degree of correlation；If in public information fragment do not include presupposed information, it is determined as no correlation
Degree；
Target user is divided into one group by the degree of correlation.
Further, extracting the social networks that target user gathers includes:
Target user with the high degree of correlation is divided into target user's set；
By target user gather in each user disclose in message common to information；
Social networks are determined according to shared information.
Fig. 2 is the schematic apparatus figure of friend recommendation device according to an embodiment of the invention.As shown in Fig. 2, this hair
It is bright to additionally provide a kind of friend recommendation device, including acquiring unit 1, analytical unit 2, extraction unit 3, processing unit 4 and recommendation
Unit 5.
Acquiring unit 1 is configured to obtain user in user's set to be recommended and accesses the open message issued when social platform.
Analytical unit 2 is configured to choose corresponding target user from user to be recommended set according to public information, obtains target user
Set.Extraction unit 3 is configured to extract the social networks of target user's set.Processing unit 4 is configured to be collected according to target user
It closes and social networks constructs local social network.Recommendation unit 5 is configured to recommend the user in local social network currently
User.
Further, analytical unit 2 is further configured to
Public information is decomposed, public information fragment is obtained；
Public information fragment is compared with presupposed information；
Corresponding target user is chosen from recommended user's set according to comparison result.
Further, extraction unit 3 is further configured to
Target user with the high degree of correlation is divided into target user's set；
By target user gather in each user disclose in message common to information；
Social networks are determined according to shared information.
Friend recommendation method and device of the invention, comprising: obtain user in user's set to be recommended and access social platform
The open message of Shi Fabu；Corresponding target user is chosen from user to be recommended set according to public information, obtains target use
Family set；Extract the social networks of target user's set；Local social network is constructed according to target user's set and social networks；
User in local social network is recommended into active user.It, can be according to the society of target user using the above method and device
Friendship relationship extends, and will recommend active user with the target user that active user matches, improves the accuracy of recommendation.
So far, although those skilled in the art will appreciate that present invention has been shown and described in detail herein multiple shows
Example property embodiment still without departing from the spirit and scope of the present invention, still can according to the present disclosure directly
Determine or deduce out many other variations or modifications consistent with the principles of the invention.Therefore, the scope of the present invention is understood that and recognizes
It is set to and covers all such other variations or modifications.
Claims (8)
1. a kind of friend recommendation method characterized by comprising
It obtains user in user's set to be recommended and accesses the open message issued when social platform；
Corresponding target user is chosen from user's set to be recommended according to the public information, obtains target user's collection
It closes；
Extract the social networks of target user's set；
Local social network is constructed according to target user set and the social networks；
User in the local social network is recommended into active user.
2. friend recommendation method according to claim 1, which is characterized in that used according to the public information from the recommendation
Choosing corresponding target user in the set of family includes:
The public information is decomposed, public information fragment is obtained；
The public information fragment is compared with presupposed information；
Corresponding target user is chosen from recommended user set according to comparison result.
3. friend recommendation method according to claim 2, which is characterized in that the presetting message is that the active user sets
Fixed message, the message of the setting include one of text information, audio-frequency information or video information or a variety of.
4. friend recommendation method according to claim 3, which is characterized in that preset the public information fragment with described
Information, which is compared, includes:
If being determined as the high degree of correlation when in the public information fragment comprising all presupposed informations；If the public information
In fragment when the presupposed information described comprising part, it is determined as the middle degree of correlation；If not comprising described pre- in the public information fragment
If when information, being determined as no degree of correlation；
Target user is divided into one group by the degree of correlation.
5. friend recommendation method according to claim 4, which is characterized in that extract the social of target user's set and close
System includes:
Target user with the high degree of correlation is divided into target user's set；
Each user in target user set is disclosed into information common in message；
Social networks are determined according to the shared information.
6. a kind of friend recommendation device characterized by comprising
Acquiring unit is configured to obtain user in user's set to be recommended and accesses the open message issued when social platform；
Analytical unit is configured to choose corresponding target user from user's set to be recommended according to the public information,
Obtain target user's set；
Extraction unit is configured to extract the social networks of target user's set；
Processing unit is configured to be gathered according to the target user and the social networks constructs local social network；
Recommendation unit is configured to the user in the local social network recommending active user.
7. friend recommendation device according to claim 6, which is characterized in that the analytical unit is further configured to
The public information is decomposed, public information fragment is obtained；
The public information fragment is compared with presupposed information；
Corresponding target user is chosen from recommended user set according to comparison result.
8. friend recommendation device according to claim 7, which is characterized in that the extraction unit is further configured to
Target user with the high degree of correlation is divided into target user's set；
Each user in target user set is disclosed into information common in message；
Social networks are determined according to the shared information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810734688.4A CN108965110A (en) | 2018-07-06 | 2018-07-06 | A kind of friend recommendation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810734688.4A CN108965110A (en) | 2018-07-06 | 2018-07-06 | A kind of friend recommendation method and device |
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| Publication Number | Publication Date |
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| CN108965110A true CN108965110A (en) | 2018-12-07 |
Family
ID=64485995
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| CN201810734688.4A Pending CN108965110A (en) | 2018-07-06 | 2018-07-06 | A kind of friend recommendation method and device |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100191770A1 (en) * | 2009-01-27 | 2010-07-29 | Apple Inc. | Systems and methods for providing a virtual fashion closet |
| CN103023946A (en) * | 2011-09-26 | 2013-04-03 | 北京千橡网景科技发展有限公司 | Method and device for recommending common interest place in social network |
| CN104268171A (en) * | 2014-09-11 | 2015-01-07 | 东北大学 | Activity similarity and social trust based social networking website friend recommendation system and method |
| CN106528709A (en) * | 2016-10-26 | 2017-03-22 | 北京小米移动软件有限公司 | Social information recommendation method and apparatus |
| CN106685809A (en) * | 2017-02-24 | 2017-05-17 | 腾讯科技（深圳）有限公司 | Method and device for generating social network |
-
2018
- 2018-07-06 CN CN201810734688.4A patent/CN108965110A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100191770A1 (en) * | 2009-01-27 | 2010-07-29 | Apple Inc. | Systems and methods for providing a virtual fashion closet |
| CN103023946A (en) * | 2011-09-26 | 2013-04-03 | 北京千橡网景科技发展有限公司 | Method and device for recommending common interest place in social network |
| CN104268171A (en) * | 2014-09-11 | 2015-01-07 | 东北大学 | Activity similarity and social trust based social networking website friend recommendation system and method |
| CN106528709A (en) * | 2016-10-26 | 2017-03-22 | 北京小米移动软件有限公司 | Social information recommendation method and apparatus |
| CN106685809A (en) * | 2017-02-24 | 2017-05-17 | 腾讯科技（深圳）有限公司 | Method and device for generating social network |
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Application publication date: 20181207 |