Friend recommendation system for online social networks: A survey

V. S. Parvathy, T. Ratheesh
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引用次数: 6

Abstract

The social network users always need personalized information. In the present scenario, people are not willing to spend a lot of time to specify their personal needs. So a system is needed which automatically suggest personalized things to users. The Recommendation system is a system which is used to recommend resources that user may be interested in by mining users' interests and/or preferences. There are different types of recommendation system in social network and each of this system uses different technologies for recommendation. The friend recommendation system is such a system which automatically suggests potential friends to users. This paper does a survey of different friend recommendation systems using different techniques. In this literature a comparative study of the methodology is also done.
在线社交网络的朋友推荐系统:一项调查
社交网络用户总是需要个性化的信息。在目前的情况下,人们不愿意花很多时间来明确他们的个人需求。因此,需要一个能够自动向用户提出个性化建议的系统。推荐系统是通过挖掘用户的兴趣和/或偏好来推荐用户可能感兴趣的资源的系统。在社交网络中有不同类型的推荐系统,每个系统使用不同的技术进行推荐。好友推荐系统就是这样一个自动向用户推荐潜在好友的系统。本文对使用不同技术的朋友推荐系统进行了综述。在本文献中,还对方法进行了比较研究。
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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