文章基本信息

标题：A User Behavior Based Study on Search Engine Ranking
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作者：Yu Huang ; Mu Zhang ; Xuekui Ge 等
期刊名称：Computer Engineering and Intelligent Systems
印刷版ISSN：2222-1727
电子版ISSN：2222-2863
出版年度：2014
卷号：5
期号：12
页码：94-104
语种：English
出版社：International Institute for Science, Technology Education
摘要：In this era of information explosion, finding convenient ways to get the desired information is becoming ever more vital today. With a review of the existing information retrieval and feedback technology, this paper puts forward a method to establish and update user profile model through obtaining user’s implicit feedbacks. The user’s explicit information is not a must. Instead, this method, with the implicit information acquired by observing the behaviors of the users when browsing web pages, establishes and updates the user profile model and thus reduces the workload.
关键词：Information retrieval?Implicit feedback?Relevance feedback; User profile model