Collaborative filtering recommender method based on trust

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Abstract

In this paper, a recommender method based on data was developed, which includes friend recommender and application recommender. According to the friend relationship and interaction behavior, a trust computing method was proposed, with a more authentic social network then constructed with the obtained trust. The cohesive subgroup and existing friend information was employed to divide the constructed social network. Based on the work mentioned above, an improved friend recommender and application method was proposed with the similarity of users in the community being differentiated with the similarity of the user out of the community. The improved method can obtain more nearest neighbors and enhance the accuracy of friend recommender and application recommender.

Keywords social network division trust friend recommender collaborative filtering

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Issue Date: 15 March 2014

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	Qiang ZHU
	Yuqiang SUN

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Qiang ZHU,Yuqiang SUN. Collaborative filtering recommender method based on trust[J]. Journal of Tsinghua University(Science and Technology), 2014, 54(3): 360-365.

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http://jst.tsinghuajournals.com/EN/ OR http://jst.tsinghuajournals.com/EN/Y2014/V54/I3/360

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