计算机应用研究2016，Vol.33Issue(5)：1312-1314,1326,4.DOI:10.3969/j.issn.1001-3695.2016.05.007
结合点评情感分析的推荐算法研究
Research on recommending algorithm combined with emotion analysis of reviews
摘要
Abstract
In modern information society,recommendation systems had already been widely used.Traditional recommendation algorithm didn’t take users’emotion tendencies into consideration.To aim at the problem of improving the performance of the recommendation system,this paper proposed an improved recommendation algorithm on the basis of traditional collaborative fil-tering algorithm.This algorithm combined with emotion analysis.As the user’s reviews more directly reflected their real fee-lings,it was feasible to generate the corresponding scores by analyzing the emotional tendencies of user reviews to replace the scores which was given by users.The improved algorithm has certain originality.The experiment shows that this recommenda-tion algorithm improves the performance of the recommendation system,with positive significance for the development of the recommendation system.关键词
点评/推荐算法/情感分析/聚类/协同过滤Key words
review/recommendation algorithm/emotion analysis/clustering/collaborative filtering分类
信息技术与安全科学引用本文复制引用
蒋宗礼,金益斌..结合点评情感分析的推荐算法研究[J].计算机应用研究,2016,33(5):1312-1314,1326,4.基金项目
国家级教学团队建设项目 （）
