基于特征选择的在线社交网络好友推荐机制研究

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

摘要

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