Effective ranking and recommendation on web page retrieval by integrating association mining and PageRank

Ja Hwung Su*, Bo Wen Wang, Vincent Shin-Mu Tseng

*此作品的通信作者

研究成果: Conference contribution同行評審

10 引文 斯高帕斯(Scopus)

摘要

Nowadays, the well-known search engines, such as Google, Yahoo, MSN, etc, have provided the users with good search results based on special search strategies. However there still exist some problems unsolved for traditional search engines, including: 1) the gap between user's intention and searched results is not easy to narrow down under the global search space, and 2) user's interested pages hidden in the local website are not associated with the search results. To deal with such problems, in this paper, we propose a novel approach for personalized page ranking and recommendation by integrating association mining and PageRank so as to meet user's search goals. Moreover, by mining the users' browsing behaviors, we can successfully bridge the gap between global search results and local preferences. The effectiveness of our proposed approach was verified through experimental evaluations.

原文English
主出版物標題Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
頁面455-458
頁數4
DOIs
出版狀態Published - 1 12月 2008
事件2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008 - Sydney, NSW, Australia
持續時間: 9 12月 200812 12月 2008

出版系列

名字Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008

Conference

Conference2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
國家/地區Australia
城市Sydney, NSW
期間9/12/0812/12/08

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