Personalized query expansion for the web

被引：125

作者：

Chirita, Paul - Alexandru ^{[1
]}

Firan, Claudiu S. ^{[1
]}

Nejdl, Wolfgang ^{[1
]}

机构：

[1] L3S Research Center, 30167 Hannover

来源：

Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 | 2007年

关键词：

Desktop profile; Keyword co-occurrences; Keyword extraction; Personalized web search; Query expansion;

D O I：

10.1145/1277741.1277746

中图分类号：

学科分类号：

摘要：

The inherent ambiguity of short keyword queries demands for enhanced methods for Web retrieval. In this paper we propose to improve such Web queries by expanding them with terms collected from each user's Personal Information Repository, thus implicitly personalizing the search output. We introduce five broad techniques for generating the additional query keywords by analyzing user data at increasing granularity levels, ranging from term and compound level analysis up to global co-occurrence statistics, as well as to using external thesauri. Our extensive empirical analysis under four different scenarios shows some of these approaches to perform very well, especially on ambiguous queries, producing a very strong increase in the quality of the output rankings. Subsequently, we move this personalized search framework one step further and propose to make the expansion process adaptive to various features of each query. A separate set of experiments indicates the adaptive algorithms to bring an additional statistically significant improvement over the best static expansion approach. Copyright 2007 ACM. Copyright 2007 ACM.

引用

页码：7 / 14

页数：7

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