计算机应用与软件2012，Vol.29Issue(4)：183-185,191,4.
基于产品分类的协同过滤算法应用研究
PRODUCT TAXONOMY BASED COLLABORATIVE FILTERING ALGORITHM APPLICATION RESEARCH
王松 1徐德华1
作者信息
- 1. 同济大学管理科学与工程系 上海200092
- 折叠
摘要
Abstract
In order to remedy the sparsity and scalability weaknesses and improve the recommendation quality, based on conventional collaborative filtering algorithms, product taxonomy and web usage mining technologies are introduced. After elaborating the algorithm in detail, with experimental data the algorithm' s recommendation performance is validated. Experiment results show that the performance of collaborative filtering algorithm is significantly improved and meanwhile the sparsity and scalability weaknesses are greatly remedied by the utilization of product taxonomy and web usage mining technologies.关键词
协同过滤/推荐系统/Web使用挖掘/聚类分析Key words
Collaborative filtering/Recommendation system/Web usage mining/Cluster analysis分类
信息技术与安全科学引用本文复制引用
王松,徐德华..基于产品分类的协同过滤算法应用研究[J].计算机应用与软件,2012,29(4):183-185,191,4.
