Research on User Interest Shift Aware Random Walk with Restart Recommendation Algorithm
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 College, Nanjing 210088, China;
3. Information Science Department, Pennsylvania State University, Malvern 19355, USA
Abstract：Aiming at random walk with restart recommendation algorithm ignoring user interest shift, this paper propses a new random walk with restart recommendation algorithm based on user interest shift. It identifies user interest by clustering, then creates user interest model on which estimates user's current interest concerning time decay. Finally, it forms the transition probability to make recommendation according to user current interest. Experiment shows that proposed algorithm can improve the recommendation accuracy efficiently.
俞琰, 邱广华. 用户兴趣变化感知的重启动随机游走推荐算法研究[J]. 现代图书情报技术, 2012, 28(4): 48-53.
Yu Yan, Qiu Guanghua. Research on User Interest Shift Aware Random Walk with Restart Recommendation Algorithm. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2012.04.08.
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