摘要
This paper presents a personalization recommenddation model to recommend potentially interesting resources to users based on the web access log of users. This model builds on the apriori algorithm and the tf-idf technology, which consists of three parts: resource description, user's preference extraction and the personalization recommendation. Firstly ,our model generates resource text space vector by analyzing the resource information achieved by mining user's web access log, then it attains interest set to make use of the apriori algorithm based on the vector, finally, it recommends filtered and sorted resources to users content based recommendation model.
源语言 | 英语 |
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主期刊名 | Proceedings - 2008 International Conference on MultiMedia and Information Technology, MMIT 2008 |
页 | 172-175 |
页数 | 4 |
DOI | |
出版状态 | 已出版 - 2008 |
活动 | 2008 International Conference on MultiMedia and Information Technology, MMIT 2008 - Three Gorges, 中国 期限: 30 12月 2008 → 31 12月 2008 |
出版系列
姓名 | Proceedings - 2008 International Conference on MultiMedia and Information Technology, MMIT 2008 |
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会议
会议 | 2008 International Conference on MultiMedia and Information Technology, MMIT 2008 |
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国家/地区 | 中国 |
市 | Three Gorges |
时期 | 30/12/08 → 31/12/08 |
指纹
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Peng, X., Cao, Y., & Niu, Z. (2008). Mining web access log for the personalization recommendation. 在 Proceedings - 2008 International Conference on MultiMedia and Information Technology, MMIT 2008 (页码 172-175). 文章 5089088 (Proceedings - 2008 International Conference on MultiMedia and Information Technology, MMIT 2008). https://doi.org/10.1109/MMIT.2008.166