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	Incorporating pageview weight into an association-rule-based web recommendation system
	Yan, Liang ; Li, Chunping
	2010-05-07 ; 2010-05-07
会议名称	AI 2006: Advances in Artificial Intelligence, Proceedings ; 19th Australian Joint Conference on Artificial Intelligence ; Hobart, AUSTRALIA ; Web of Science
关键词	web personalization web usage mining web recommender system weighted association rule mining Computer Science, Theory & Methods
中文摘要	Web recommendation systems based on web usage mining try to mine users' behavior patterns from web access logs, and recommend pages to the online user by matching the user's browsing behavior with the mined historical behavior patterns. Recommendation approaches proposed in previous works, however, do not distinguish the importance of different pageviews, and all the visited pages are treated equally whatever their usefulness to the user. We propose to use pageview duration to judge its usefulness to a user, and try to give more consideration to more useful pageviews, in order to better capture the user's information need and recommend pages more useful to the user. In this paper we try to incorporate pageview weight into the Association Rule (AR) based model and develop a Weighted Association Rule (WAR) model. Comparative experiment of the two shows a significant improvement in the recommendation effectiveness with the proposed WAR model.
会议录出版者	SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/16929]
专题	清华大学
推荐引用方式 GB/T 7714	Yan, Liang,Li, Chunping. Incorporating pageview weight into an association-rule-based web recommendation system[C]. 见:AI 2006: Advances in Artificial Intelligence, Proceedings, 19th Australian Joint Conference on Artificial Intelligence, Hobart, AUSTRALIA, Web of Science.

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