基于用户兴趣变化的协同过滤技术的研究

Research of Collaborative Filtering Technology Based on the Change of User Interest

传统的协同过滤算法中忽视了用户的兴趣变化,一定程度上影响了推荐质量,因此本文引入了基于时间的数据权重,在此基础上研究了基于用户兴趣变化的协同过滤技术。实验表明基于用户兴趣变化的协同过滤技术能够及时发现用户的兴趣变化,提高系统的推荐质量。

Traditional collaborative filtering algorithms ignores the change of the user interest, which affects the quality of recommendation in a certain extent. This article introduces time-based data weight, and researches on the collaborative filtering technology based on the change of user interest. Experimental results show that this technology can discover the change of user interest timely, and improve the system recommendation quality.