广东工业大学学报Issue(2)：38-42,5.DOI:10.3969/j.issn.1007-7162.2015.02.007
基于距离衰减和评分趋势改进的协同推荐算法
A Distance Decay and Score Trends Improved Collaborative Recommendation Algorithm
摘要
Abstract
Traditional recommendation algorithm not only ignores the connection between the users ’ dis-tance , but also ignores the different evaluation standard .For this problem , this paper proposes a based on distance attenuation and score trends improved collaborative recommendation algorithm ,which use the distance decay function and the score trends algorithm to improve the collaborative algorithm .Experimen-tal results show that the recommendation algorithm can not only improve the accuracy , but also enhancing the efficiency of commodity recommendation system.关键词
距离/评分趋势/协同推荐/商品推荐Key words
distance/rating trends/collaborative recommendation/commodity recommendation分类
信息技术与安全科学引用本文复制引用
王勇,易庭..基于距离衰减和评分趋势改进的协同推荐算法[J].广东工业大学学报,2015,(2):38-42,5.基金项目
广东省教育部产学研结合项目（2012B091100071）。 （）
