An assessment of feature selection based mechanism to recommend friends in online social networks

Sanjeev Dhawan, Kulvinder Singh, Ashutosh Jain
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引用次数: 1

Abstract

In online social networks billions of people connect with each other. They join different groups based on their interests and also recommended by their friends. To recommend a friend a friend recommendation system is used. Recommending a friend to join a group and add a new friend is very complex. In this paper an attempt has been made to describe the friend recommendation techniques and methodologies efficiently. Work done by various researchers is presented and a cohesive approach for friend recommendation is proposed to recommend friends in Twitter and a comparison of the existing method with proposed algorithm is presented.
基于特征选择的在线社交网络好友推荐机制研究
在在线社交网络中,数十亿人相互联系。他们根据自己的兴趣和朋友的推荐加入不同的团体。要向朋友推荐,需要使用朋友推荐系统。推荐朋友加入群组并添加新朋友是非常复杂的。本文试图对好友推荐技术和方法进行较为有效的描述。介绍了不同研究人员的工作,提出了一种内聚的朋友推荐方法来推荐Twitter上的朋友,并将现有方法与本文提出的算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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