基于VSM的分层网页推荐算法 | |
邵华 ; 高凤荣 ; 邢春晓 ; 蒋丽华 ; SHAO Hua ; GAO Feng-Rong ; XING Chun-Xiao ; JIANG Li-Hua | |
2010-06-09 ; 2010-06-09 | |
关键词 | 个性化 向量空间模型 层次 推荐算法 Personalization,Vector space model,Hierarchy,Recommendation algorithm TP393.092 |
其他题名 | A Hierarchical Webpage Recommendation Algorithm Based on Vector Space Model |
中文摘要 | 在面对大数据量时,传统的基于VSM的分层网页推荐算法由于分类的不准确,造成推荐精确率较低。该文针对这个缺陷提出了改进的分层推荐算法,该算法在推荐过程中综合考虑了领域和用户兴趣,以及网页和用户兴趣的相似程度,来为用户提供高效的个性化网页推荐。实验表明,该算法提高了网页推荐的精确率。; On account of inaccurate classification, the traditional hierarchical Webpage recommendation algorithm based on vector space model can not produce high precision when it deals with large amounts of data. This paper proposes an improved hierarchical Webpage recommendation algorithm. In the process of recommendation, this algorithm takes into consideration the similarities between domain-and-user’s interests as well as Webpages-and-user’s interests, then provides highly effective personalized Webpage recommendation service for users. Experimental results show that the proposed algorithm enhances the precision of Webpage recommendation.; 国家自然科学基金(No.60473078) |
语种 | 中文 ; 中文 |
内容类型 | 期刊论文 |
源URL | [http://hdl.handle.net/123456789/56408] |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | 邵华,高凤荣,邢春晓,等. 基于VSM的分层网页推荐算法[J],2010, 2010. |
APA | 邵华.,高凤荣.,邢春晓.,蒋丽华.,SHAO Hua.,...&JIANG Li-Hua.(2010).基于VSM的分层网页推荐算法.. |
MLA | 邵华,et al."基于VSM的分层网页推荐算法".(2010). |
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