一种解决新项目冷启动问题的推荐算法_于洪.pdf

ISSN 1000-9825, CODEN RUXUEW E-mail: jos@ Journal of Software ,2015,26(6):1395-1408 [doi: 10.13328/ki.jos.004587] ©. Tel: +86-10   , ((), 400065) : , E-mail: yuhong@, //yuhong : ,., .,, ,, ,;. ,,. : ,. ,, .: ,. : ;;;; : TP18 : ,..,2015,26(6):1395-1408. / 1000-9825/4587.htm : Yu H, Li JH. Algorithm to solve the cold-start problem in new item recommendations. Ruan Jian Xue Bao/ Journal of Software, 2015,26(6):1395-1408 (in Chinese). /1000-9825/4587.htm Algorithm to Solve the Cold-Start Problem in New Item Recommendations YU Hong, LI Jun-Hua (Chongqing Key Laboratory of Computational Intelligence (Chongqing University of Posts Telecommunications), Chongqing 400065, China) Abstract : As one of the effective methods to ease the information overload problem, recommender systems have become extremely popular in social media. However, recommender methods suffer from the cold-start problems in new item recommendations and new user recommendations. To combat the cold-start problems in new item recommendations, the concept of user time weights is proposed to characterize the time interval between the user evaluating time and item distributing time. According to the weights, it can determine whether the user is a positive user or a negative user, and the degree of the user’s preference for new items. Tripartite graphs are used to picture relations among user-item-tag, and user-item-attribute. Combing information among users, tags, attributes of items and time weights, functions for predicting the rating are defined