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Friend recommendation method and device

A friend recommendation and friend technology, applied in the Internet field, can solve the problems of single influencing factor and low friend accuracy, and achieve the effect of comprehensive reference data, comprehensive coverage, and improved accuracy.

Active Publication Date: 2015-05-06
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a method for recommending friends to solve the problem in the prior art that the influencing factors considered when recommending friends are relatively single, making the accuracy of the recommended friends not high

Method used

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  • Friend recommendation method and device
  • Friend recommendation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] figure 1 The implementation flow of a friend recommendation method provided by the first embodiment of the present invention is shown, and the details are as follows:

[0027] In step S101, the user's data information is acquired, and the user's data information includes the user's personal attribute information and social network topology information.

[0028] The acquisition of the user's data information can be obtained by obtaining data such as the user's personal information, personal page, or user's offline chat records, including the user's age, gender, home address, work address, interest, occupation, etc. in the personal information, and also It can be obtained by obtaining the evaluation information of the user's friends on the user, etc.; the personal page can include the interactive information of the friends, and the interactive information of the friends includes the message content of other users on the page, the reply content to the message, and the numb...

Embodiment 2

[0045] figure 2 The implementation process of the friend recommendation method provided by the second embodiment of the present invention is shown, and the details are as follows:

[0046] In step S201, the user's data information is acquired, and the user's data information includes the user's personal attribute information and social network topology information.

[0047] Wherein, optionally, the user's social network topology information includes one or more of the following: the type of circle to which the user and the candidate recommended friend belong, the number of people in the circle, whether the user adds a new friend, whether the candidate recommended friend is The number of friends in the group newly added by the user, and the number of common friends between the user and the candidate recommended friends.

[0048] Optionally, the personal attribute information of the user includes one or more of the following: whether the gender of the user and the candidate re...

Embodiment 3

[0079] image 3 A schematic structural diagram of a device for recommending friends provided by the third embodiment of the present invention is shown, and details are as follows:

[0080] The device for recommending friends in the embodiments of the present invention includes:

[0081] The acquiring unit 301 is configured to acquire data information of the user, the data information of the user includes the user's personal attribute information and social network topology information;

[0082] A feature vector determining unit 302, configured to determine, according to the user's data information, a candidate recommended friend of the user and a feature vector of the candidate recommended friend, the feature vector including quantitative information of the user's personal attributes and social network Quantitative information on topology;

[0083] The score calculation unit 303 is used to calculate the score corresponding to the feature vector according to the neural networ...

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Abstract

The invention applies to the field of internet, and provides friend recommendation method and device. The method comprises the steps of acquiring data information of a user; determining candidate recommended friends of the user and the feature vectors of the candidate recommended friends according to the data information of the user, wherein the feature vectors include quantifying information of personal property of the user, and the quantifying information of social networking services topological structure; calculating the scores corresponding to the feature vectors according to the pre-trained model so as to obtain the score sequence of the friends of the user; recommending friends to the user according to the calculated score sequence of the friends of the user. According to the method and device, the personal property information of the user and the topological network structure information are combined, and thus comprehensive recommended parameter data are provided; in addition, the candidate recommended friends can be determined according to the personal data information of the user, so that the coverage rate of recommended friends is increased, and the accuracy of user friend recommendation can be obviously increased.

Description

technical field [0001] The invention belongs to the field of the Internet, and in particular relates to a friend recommendation method and device. Background technique [0002] With the rapid development of social networks, the user base in social networks is also growing. For the needs of users to communicate and communicate, social network systems often recommend friends who may be interested. [0003] In the existing friend recommendation method, the general steps include: determining the candidate groups that the user may be interested in, sorting the candidate groups, and preferentially recommending the highest-ranked candidate groups to the user. Wherein, the method for sorting the candidate groups includes: sorting based on the number of common friends and sorting based on user attributes. [0004] The existing friend recommendation method can intelligently recommend friends who may be interested in for the user. However, since the influencing factors considered in ...

Claims

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Application Information

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IPC IPC(8): H04L12/58
Inventor 余建兴易玲玲贺鹏陈川
Owner TENCENT TECH (SHENZHEN) CO LTD
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