结合点评情感分析的推荐算法研究

摘要

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.%在当今信息化社会中，推荐系统已经得到了广泛的应用。传统的推荐算法都没有考虑用户的情感倾向，针对推荐系统性能亟待提高的问题，在传统协同过滤算法的基础上，提出了一个结合情感分析的改进的推荐算法。根据用户点评更能直观地反映用户的真实情感的事实，可以通过对用户点评的情感倾向的分析来产生相应的分值，代替传统推荐系统的评分，进而改进算法，具有一定的原创性。实验证明该推荐算法在推荐性能上有一定提高，对推荐系统的发展有积极意义。