Modified Collaborative Filtering Algorithm Based on ItemRank

Pengyuan Xu and Yanzhong Dang
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Pengyuan Xu: Institute of System Engineering, Dalian University of Technology, Dalian, China
Yanzhong Dang: Institute of System Engineering, Dalian University of Technology, Dalian, China

International Journal of Knowledge and Systems Science (IJKSS), 2014, vol. 5, issue 1, 27-35

Abstract: The most crucial component of collaborative filtering recommendation algorithm (CF) is the mechanism of calculating similarities among items or users. In this paper, a new CF algorithm based on ItemRank Similarity (IRS) is proposed, which extracts items' quality characteristics from the similar matrix. The corresponding algorithmic accuracy is measured by the ranking score, precision, recall and F-measure. This algorithm provides remarkably higher accurate predictions than other modified CF algorithm.

Date: 2014
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