Presentation 2005-07-14
Query Ambiguity Indication Using Infrequent Term Cooccurrences
Hiromi WAKAKI, Tomonari MASADA, Atsuhiro TAKASU, Jun ADACHI,
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Abstract(in English) Conventional search engines are designed mainly for general keyword search. Therefore, in many cases, we can find no appropriate combination of query terms. In this paper, we present a query disambiguation method by using infrequent term cooccurrences. This strategy comes from the following idea : terms appearing with a wide variety of terms cannot establish an independent topic. Based on this hypothesis, terms are weighted. The experimental results show that the terms ranked higher by our method can improve the average precision of Web search when added to the original query terms. As compared with other term ranking methods, our method gives higher ranks to the terms denoting more particular and adequate stuff and referring to more specific concepts.
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Keyword(in English) Articulateness / information retrieval / keyword extraction
Paper # DE2005-65
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Committee DE
Conference Date 2005/7/7(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Query Ambiguity Indication Using Infrequent Term Cooccurrences
Sub Title (in English)
Keyword(1) Articulateness
Keyword(2) information retrieval
Keyword(3) keyword extraction
1st Author's Name Hiromi WAKAKI
1st Author's Affiliation Graduate School of Information Science and Technology, The University of Tokyo()
2nd Author's Name Tomonari MASADA
2nd Author's Affiliation National Institute of Informatics
3rd Author's Name Atsuhiro TAKASU
3rd Author's Affiliation National Institute of Informatics
4th Author's Name Jun ADACHI
4th Author's Affiliation National Institute of Informatics
Date 2005-07-14
Paper # DE2005-65
Volume (vol) vol.105
Number (no) 172
Page pp.pp.-
#Pages 6
Date of Issue