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Research on Random Walk with Restart Recommendation Algorithm of Explicit Rating |
Yu Yan1,2, Qiu Guanghua1,3 |
1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. Computer Science Department, Southeast University Chenxian Colleage, Nanjing 210088, China;
3. Information Science Department, Pennsylvania State University, Malvern 19355, USA |
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Abstract Aiming at random walk with restart recommendation algorithm mainly for implicit ratings while ignoring explicit ratings, this paper sets random walk under supervision to make recommendation, that makes the probabilities of items which user likes are greater than those of items which user dislikes. Experiment result demonstrates that this algorithm improves the accuracy of recommendation.
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Received: 03 February 2012
Published: 19 April 2012
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