Personalized Interactive Faceted Search
Faceted search is becoming a popular method to allow users to interactively search and navigate complex information spaces. A faceted search system presents users with key-value metadata that is used for query re.nement. While popular in e-commerce and digital libraries, not much re-search has been conducted on which metadata to present to a user in order to improve the search experience. Nor are there repeatable benchmarks for evaluating a faceted search engine. This paper proposes the use of collaborative.ltering and personalization to customize the search interface to each users behavior. This paper also proposes a utility based framework to evaluate the faceted interface. In order to demonstrate these ideas and better understand person-alized faceted search, several faceted search algorithms are proposed and evaluated using the novel evaluation methodology.
collaborative recommendation faceted search interactive search user modeling personalization evaluation
Jonathan Koren Yi Zhang Xue Liu
Jack Baskin School of Engineering University of California, Santa Cruz Santa Cruz, CA 95064, USA School of Computer Science McGill University Montreal, Quebec, Canada, H3A 2A7
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）