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New Technology of Library and Information Service  2015, Vol. 31 Issue (1): 59-65    DOI: 10.11925/infotech.1003-3513.2015.01.09
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Friend Recommendation in Social Network
Wu Hao, Liu Dongsu
School of Economics & Management, Xidian University, Xi'an 710126, China
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[Objective] Make use of the friends and historical behavior of users in social network, to recommend potential friends for the target users. [Methods] The proportion of common friends and the proportion of interaction are used as indicators to measure the closeness of the relationship in a social network graph. The relationship between friends is scored according to sociality interest and interest similarity, and the Top-k users with the highest scores are recommended to the target users. [Results] Experimental results show that the precision rate and recall rate of this method are improved significantly in comparison with traditional methods. [Limitations] Abnormal interaction without identification and treatment, may affect the accuracy of the recommendation results. [Conclusions] Considering more factors, including the proportion of interaction, the improved friend recommendation method has a better effect than traditional single factor method.

Key wordsSocial network      Friend recommendation      Interest similarity      Interaction     
Received: 17 July 2014      Published: 12 February 2015
:  G354  

Cite this article:

Wu Hao, Liu Dongsu. Friend Recommendation in Social Network. New Technology of Library and Information Service, 2015, 31(1): 59-65.

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