NDLI: Finding Related Search Engine Queries by Web Community Based Query Enrichment

Content Provider	Springer Nature Link
Author	Li, Lin Otsuka, Shingo Kitsuregawa, Masaru
Copyright Year	2009
Abstract	The conventional approaches of finding related search engine queries rely on the common terms shared by two queries to measure their relatedness. However, search engine queries are usually short and the term overlap between two queries is very small. Using query terms as a feature space cannot accurately estimate relatedness. Alternative feature spaces are needed to enrich the term based search queries. In this paper, given a search query, first we extract the Web pages accessed by users from Japanese Web access logs which store the users individual and collective behavior. From these accessed Web pages we usually can get two kinds of feature spaces, i.e, content-sensitive (e.g., nouns) and content-ignorant (e.g., URLs), to enrich the expressions of search queries. Then, the relatedness between search queries can be estimated on their enriched expressions. Our experimental results show that the URL feature space produces much lower precision scores than the noun feature space which, however, is not applicable in non-text pages, dynamic pages and so on. It is crucial to improve the quality of the URL (content-ignorant) feature space since it is generally available in all types of Web pages. We propose a novel content-ignorant feature space, called Web community which is created from a Japanese Web page archive by exploiting link analysis. Experimental results show that the proposed Web community feature space generates much better results than the URL feature space.
Starting Page	121
Ending Page	142
Page Count	22
File Format	PDF
ISSN	1386145X
Journal	World Wide Web
Volume Number	13
Issue Number	1-2
e-ISSN	15731413
Language	English
Publisher	Springer US
Publisher Date	2009-11-17
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	relatedness query enrichment web access logs web page archive web community Operating Systems Database Management Information Systems Applications (incl.Internet)
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software Hardware and Architecture

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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