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计算机工程 ›› 2012, Vol. 38 ›› Issue (5): 67-69. doi: 10.3969/j.issn.1000-3428.2012.05.019

• 软件技术与数据库 • 上一篇    下一篇

基于协同过滤的网络论坛个性化推荐算法

张新猛,蒋盛益   

  1. (广东外语外贸大学思科信息学院,广州 510006)
  • 收稿日期:2011-08-30 出版日期:2012-03-05 发布日期:2012-03-05
  • 作者简介:张新猛(1974-),男,讲师、硕士,主研方向:Web数据挖掘;蒋盛益,教授、博士
  • 基金资助:
    国家自然科学基金资助项目(61070061)

Personalized Recommendation Algorithm of Internet Forum Based on Collaborative Filtering

ZHANG Xin-meng, JIANG Sheng-yi   

  1. (Cisco School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006, China)
  • Received:2011-08-30 Online:2012-03-05 Published:2012-03-05

摘要: 提出一种基于协同过滤的网络论坛个性化推荐算法,根据用户的发帖、回帖、阅读等记录,采用加权方法计算用户帖子的评分矩阵,获取邻近用户集合,通过邻居用户的帖子评分,计算目标用户的帖子预测评分,推荐预测评分最高的帖子。实验结果表明,该算法的推荐质量较高。

关键词: 网络论坛, 个性化推荐, 协同过滤, 相似度, 用户兴趣

Abstract: This paper proposes a personalized recommendation algorithm of Internet forum based on collaborative filtering. According to the users posting, replies, and reading records, it computes user rating matrix by weighted method, gets the nearest users, then calculates the target user’s posts prediction score according to neighbors’ posts, and recommends the highest score prediction posts to target user. Experimental results show that the algorithm can recommend high-quality posts.

Key words: Internet forum, personalized recommendation, collaborative filtering, similarity, user interest

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