System and method for recommending friend in social network

Abstract

The invention provides a system and a method for recommending a friend in a social network. The system comprises a data management module, a face detection and feature extraction module, a face matching module, a user head portrait confirmation module, a friend recommendation calculation module and a friend recommendation control module, wherein the friend recommendation control module extracts photo album data of each user from the data management module, controls the face detection and feature extraction module to detect each photo in the photo album data and extract facial feature data, establishes a photo album facial feature table containing all extracted facial feature data, controls the user head portrait confirmation module to confirm user head portrait features of each user, stores the confirmed user head portrait features in user head portrait feature items in user information of each user, and controls the friend recommendation calculation module to generate friend recommendation data on the basis of the established photo album facial feature table of each user as well as the user information and friend information in the data management module.

Description

technical field [0001] This application relates to a system and method for recommending friends in a social network, in particular to a method for recommending matching non-friends by performing face detection and recognition on photos uploaded by users and matching them with the avatars of all users of the social network The described systems and methods for users. Background technique [0002] Network technology integrates scattered resources on the Internet into an organic aggregate, realizes comprehensive resource sharing and organic collaboration, and enables people to transparently use the overall capabilities of resources and obtain information on demand. The emergence of social networks has greatly enriched everyone's social circle, and they can share and obtain more information and resources. Each user can have his own sub-network in the social network, that is, the friend relationship graph centered on himself, and the friend recommendation technology has emerged ...

AI Technical Summary

Problems solved by technology

It is more difficult for users to find users connected by other means

For example, user A has a group photo, but user A has no information associated with other people in the group photo, the existing friend recommendation technology cannot recommend these people as user A's friends

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