结合点评情感分析的推荐算法研究.

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 filtering 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 recommendation algorithm improves the performance of the recommendation system, with positive significance for the development of the recommendation system. [ABSTRACT FROM AUTHOR]