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E. A. Leicht, P. Holme and M. E. J. Newman, “Vertex Similarity in Networks,” Physical Review E, Vol. 73, No. 2, 2006. http://dx.doi.org/10.1103/PhysRevE.73.026120

has been cited by the following article:

• TITLE: Improving Personal Product Recommendation via Friendships’ Expansion

  AUTHORS: Chunxia Yin, Tao Chu

  KEYWORDS: Personal Product Recommendation; Trust Inference; Listening and Trust Preference Network

  JOURNAL NAME: Journal of Computer and Communications, Vol.1 No.5, November 8, 2013

  ABSTRACT: The trust as a social relationship captures similarity of tastes or interests in perspective. However, the existent trust information is usually very sparse, which may suppress the accuracy of our personal product recommendation algorithm via a listening and trust preference network. Based on this thinking, we experiment the typical trust inference methods to find out the most excellent friend-recommending index which is used to expand the current trust network. Experimental results demonstrate the expanded friendships via superposed random walk can indeed improve the accuracy of our personal product recommendation.