计算机应用研究2011，Vol.28Issue(4)：1248-1250,3.DOI:10.3969/j.issn.1001-3695.2011.04.012
基于社区网络内容的个性化推荐算法研究
Personalized recommendation algorithm research based on content in social network
王洁 1汤小春1
作者信息
- 1. 西北工业大学,计算机学院,西安,710072
- 折叠
摘要
Abstract
Based on the issue that how to acquire the interesting information for users quickly and effectively from massive data, this paper proposed a personalized recommendation algorithm based on content in social network. On the basis of obtaining user clusters with common interest, firstly used content similarity algorithm to mine content recommendation items based on social network logs, then obtained new content recommendation items based on user interest. The experimental results show that the algorithm can not only improve the accuracy of the content recommendation, but also extend the coverage of content.关键词
社区网络/用户聚类/内容过滤/个性化推荐Key words
social network/ user cluster/ content filter/ personalized recommendation分类
信息技术与安全科学引用本文复制引用
王洁,汤小春..基于社区网络内容的个性化推荐算法研究[J].计算机应用研究,2011,28(4):1248-1250,3.
