计算机与现代化 ›› 2011, Vol. 1 ›› Issue (6): 95-5.doi: 10.3969/j.issn.1006-2475.2011.06.027

• 算法分析与设计 • 上一篇    下一篇

融合的协同过滤推荐算法

吴逸明   

  1. 华南师范大学计算机学院,广东 广州510631
  • 收稿日期:2011-03-16 修回日期:1900-01-01 出版日期:2011-06-29 发布日期:2011-06-29

A Hybrid Collaborative Filtering Recommendation Algorithm

WU Yi-ming   

  1. School of Computer Science, South China Normal University, Guangzhou 510631, China
  • Received:2011-03-16 Revised:1900-01-01 Online:2011-06-29 Published:2011-06-29

摘要: 协同过滤算法作为一种成功的个性化推荐技术已经被应用到很多领域中,但随着系统规模的扩大,它的效率逐渐降低。针对它出现的缺点,提出一种新的基于内容和网络结构图的混合算法,实验数据证明该算法可以解决传统推荐算法中存在的一些缺陷。

关键词: 个性化推荐算法, 基于内容, 基于网络结构, 混合推荐算法

Abstract: Collaborative filtering algorithm is one successful personalized recommendation technology, and is extensively used in many fields. Unfortunately, the efficiency of the method declines linearly with the number of users and items. To solve these problems, combining the two algorithm’s characteristics and advantages, a new hybrid algorithm is proposed based on the content and network structure, it improves the defects of the current recommendation algorithms and gives realization process of algorithm and experimental results.

Key words: personalized recommendation algorithm, contentbased, network structurebased, hybrid recommendation algorithm