基于混合过滤的图书推荐系统的设计与效能评估

Design and Efficiency Evaluation of Book Recommendation System Based on Hybrid Filtering

为了提升图书推荐服务质量,提出了将协同过滤、基于内容的过滤以及关联规则挖掘进行整合后的混合过滤图书推荐系统,并详细阐述了混合过滤荐书系统的设计方案。效能实验显示,该混合过滤荐书系统比单一的协同过滤以及基于内容的过滤在效能上具有明显的改善。

In order to improve the quality of book recommendation service,this paper puts forward a hybrid filtering book recommendation system by integrating collaborative filtering,content-based filtering and association rule mining,and elaborates design scheme of the hybrid filtering book recommendation system.The efficiency experimental results show that the hybrid filtering book recommendation system has better efficiency than single collaborative filtering and content-based filtering.