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Unity: relevance feedback using user query logs

Published: 06 August 2006 Publication History

Abstract

The exponential growth of the Web and the increasing ability of web search engines to index data have led to a problem of plenty. The number of results returned per query is typically in the order of millions of documents for many common queries. Although there is the benefit of added coverage for every query, the problem of ranking these documents and giving the best results gets worse. The problem is even more difficult in case of temporal and ambiguous queries. We try to address this problem using feedback from user query logs. We leverage a technology called Units for generating query refinements which are shown as Also try queries on Yahoo! Search. We consider these refinements as sub-concepts which help define user intent and use them to improve search relevance. The results obtained via live testing on Yahoo! Search are encouraging.

References

[1]
Pavlov, D., Balasubramanyan, et al. Document preprocessing for naive Bayes classification and clustering with mixture of multinomials. In Proceedings of KDD pp. 829--834, 2004.
[2]
OneStat.com: Most people use 2 word phrases in search engines, August 2004. http://www.onestat.com/html/aboutus_pressbox27.html
[3]
Yahoo! Search: http://search.yahoo.com
[4]
Google Search: http://www.google.com

Cited By

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  • (2018)Web log analysisData Mining and Knowledge Discovery10.1007/s10618-011-0228-824:3(663-696)Online publication date: 26-Dec-2018
  • (2011)Web log analysis: a review of a decade of studies about information acquisition, inspection and interpretation of user interactionData Mining and Knowledge Discovery10.1007/s10618-011-0236-8Online publication date: 6-Sep-2011
  • (2009)Contextual Ranking of Keywords Using Click DataProceedings of the 2009 IEEE International Conference on Data Engineering10.1109/ICDE.2009.76(457-468)Online publication date: 29-Mar-2009
  • Show More Cited By

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Published In

cover image ACM Conferences
SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
August 2006
768 pages
ISBN:1595933697
DOI:10.1145/1148170
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 August 2006

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Author Tags

  1. information retrieval
  2. query expansion
  3. query refinements
  4. relevance feedback
  5. search engines
  6. search re-ranking

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SIGIR06
Sponsor:
SIGIR06: The 29th Annual International SIGIR Conference
August 6 - 11, 2006
Washington, Seattle, USA

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2018)Web log analysisData Mining and Knowledge Discovery10.1007/s10618-011-0228-824:3(663-696)Online publication date: 26-Dec-2018
  • (2011)Web log analysis: a review of a decade of studies about information acquisition, inspection and interpretation of user interactionData Mining and Knowledge Discovery10.1007/s10618-011-0236-8Online publication date: 6-Sep-2011
  • (2009)Contextual Ranking of Keywords Using Click DataProceedings of the 2009 IEEE International Conference on Data Engineering10.1109/ICDE.2009.76(457-468)Online publication date: 29-Mar-2009
  • (2009)Improving Web Page Retrieval Using Search Context from Clicked Domain NamesProceedings of the 2009 20th International Workshop on Database and Expert Systems Application10.1109/DEXA.2009.59(393-397)Online publication date: 31-Aug-2009
  • (2009)Access concentration detection in click logs to improve mobile Web-IRInformation Sciences: an International Journal10.1016/j.ins.2009.01.046179:12(1859-1869)Online publication date: 1-May-2009
  • (2008)Improving Mobile Web-IR Using Access Concentration Sites in Search ResultsProceedings of the 9th international conference on Web Information Systems Engineering10.1007/978-3-540-85481-4_18(221-234)Online publication date: 1-Sep-2008
  • (2007)Leveraging context in user-centric entity detection systemsProceedings of the sixteenth ACM conference on Conference on information and knowledge management10.1145/1321440.1321537(691-700)Online publication date: 6-Nov-2007

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