桂林电子科技大学学报2011，Vol.31Issue(3)：230-233,4.
基于用户角色与行为的协同过滤推荐算法
Collaborative filtering algorithm based on users role and its behavior
尹柱平 1李幼平2
作者信息
- 1. 桂林电子科技大学,商学院,广西,桂林,541004
- 2. 桂林航天工业高等专科学校,广西,桂林,541004
- 折叠
摘要
Abstract
Aiming at sparsity of score data in the traditional collaborative filtering algorithm, the similarity among users base on this sparse ratings may not be accurate. For this reason, a collaborative filtering algorithm based on fixed I-U score matrix and weighted coefficient K to constrain the nearest neighbor calculation was proposed. The fixed I-U score matrix was presented by a certain percentile of user behavior instead of vacancies scoring. The weighted coefficient K was based on user role. Experiments show that the improved algorithm has better recommendation quality.关键词
协同过滤/I-U评分矩阵/最近邻/用户角色/用户行为Key words
collaborative filtering / I-U score matrix/ nearest neighbor/ user role/ user behavior分类
信息技术与安全科学引用本文复制引用
尹柱平,李幼平..基于用户角色与行为的协同过滤推荐算法[J].桂林电子科技大学学报,2011,31(3):230-233,4.
