A Recommendation Algorithm via Developed Random Walk Takes User's Preference and Item's Genres
Author:
Affiliation:
1. School of Computer, Beijing University of Posts and Telecommunications
Publisher
ACM Press
Reference18 articles.
1. Sarwar, B. Karypis, G. Konstan, J. and Riedl, J. 2001.Item-based collaborative filtering recommendation algorithms. Proceedings of the 10th international conference on World Wide Web, pp 285--295
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5. Qiu, T. Chen, G. Zhang, Z.-K. and Zhou, Tao. 2011. An Item oriented recommendation algorithm on cold start problem. EPL, 95
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