Missing Link Prediction in Social Networks

被引：3

作者：

Zhou, Jin ^{[1
]}

Kwan, Chiman ^{[1
]}

机构：

[1] Signal Proc Inc, Rockville, MD 20850 USA

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2018 | 2018年 / 10878卷

关键词：

Link prediction and recovery; Social networks; Recommender system; Github;

D O I：

10.1007/978-3-319-92537-0_40

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper summarizes our effort of applying matrix completion techniques to a popular social network problem: link prediction. The results of our matrix completion algorithm are comparable or even better than the results of state-of-the-art methods. This means that matrix completion is a promising technique for social network problems. In addition, we customize our algorithm and developed a recommender system for Github. The recommender can help users find software tools that match their interest.

引用

页码：346 / 354

页数：9

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