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A Potential Friend Recommendation Method Based on Friend Selection Preference and Matrix Decomposition

A matrix decomposition and friend recommendation technology, applied in the Internet field, achieves the effect of accurate recommendation and reduced complexity

Active Publication Date: 2021-11-19
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the defect that the existing technology lacks the preference of friend selection based on geographic location and stranger social interaction, a potential friend recommendation method based on friend selection preference and matrix decomposition is provided

Method used

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  • A Potential Friend Recommendation Method Based on Friend Selection Preference and Matrix Decomposition
  • A Potential Friend Recommendation Method Based on Friend Selection Preference and Matrix Decomposition
  • A Potential Friend Recommendation Method Based on Friend Selection Preference and Matrix Decomposition

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Embodiment

[0041] Such as figure 1 As shown, a potential friend recommendation method based on friend selection preference and matrix decomposition includes the following steps:

[0042]S1 sets up geo-fences to obtain basic user information and display recommended objects through the mobile APP client. The basic information of the user includes geographic location, personal photos, personal information (gender, interests, etc.), and the user can view the recommendation after uploading the basic information. Based on the basic information of a group of users, and then based on this information, the recommended user will be expressed as "like" or "dislike", and the user will be recorded in the background when other users express their opinions as a recommended user. The user's statement to other users is invisible to the other party. Only when a pair of users "like" each other can a successful match be generated, and the recommended target is the user who may be successfully matched with t...

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Abstract

The invention discloses a potential friend recommendation method based on friend selection preference and matrix decomposition, which includes learning the user's friend selection preference according to the attitude data among users through matrix decomposition, and using ranking learning as a model to estimate the attitude among users, Combine the results of two-way recommendation between users, and finally recommend strangers who may become friends to users. This method can effectively alleviate the sparsity problem of the user's opinion scoring matrix in the traditional recommendation algorithm based on matrix decomposition by screening the popularity of users, and realize data dimensionality reduction. Considering the results of two-way recommendation, it can further improve the number of unfamiliar potential friends. Recommended accuracy.

Description

technical field [0001] The invention relates to the Internet field, in particular to a potential friend recommendation method based on friend selection preference and matrix decomposition. Background technique [0002] Today, when the mobile Internet has greatly facilitated people's lives, the huge amount of information and data has also brought confusion to users in choosing. For example, e-commerce websites use users' shopping records to recommend similar products to users, and Weibo recommends people they may know to users based on their social relationships. The application of the recommendation system screens data for people to help people realize their needs more efficiently. [0003] With the emergence of the mobile Internet, people can conveniently obtain information about strangers based on their geographical location and establish social relationships with nearby people, not limited to existing contacts. However, at this stage, most of the current social systems ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06Q50/00
CPCG06Q50/01G06F16/9535
Inventor 王一歌叶展鹏
Owner SOUTH CHINA UNIV OF TECH
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