一种新的Vague集的协同过滤推荐算法

A new collaborative filtering recommendation algorithms based on Vague sets

针对协同过滤推荐系统,结合Vague集方法提出了一种新的协同过滤推荐RSCFRA-VS算法。在分析了已有的基于Vague集的协同过滤推荐算法及其不足之后,详细介绍了RSCFRA-VS算法,并给出了该算法的试验结果与分析。试验结果表明,该RSCFRA-VS方法是有效和实用的,能够提高商品推荐的准确度,也为将Vague集应用于推荐系统提供了一种思路。

Aimed at the collaborative filtering recommendation system,a new collaborative filtering recommendation algorithm based on Vague sets（RSCFRA-VS） is presented.Based on the analysis of the limitations of existing collaborative filtering recommendation algorithm based on Vague sets,RSCFRA-VS algorithm is introduced in details,and the experimental results and analysis of this algorithm are given at the same time.The experimental results show that this method is effective and practical,which not only improves the accuracy of commodity recommendation but also provides a new idea of the application of Vague sets in the collaboration filtering recommendation system.