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Estimating the value of automatic disambiguation

Published: 23 July 2007 Publication History

Abstract

A common motivation for personalised search systems is the ability to disambiguate queries based on some knowledge of a user's interests. An analysis of log files from three search providers, covering a range of scenarios, suggests that this sort of disambiguation would be of marginal use for more specialised providers but may be of use for whole-of-Web search.

References

[1]
J. Gonzalo, F. Verdejo, I. Chugur, and J. Cigarraan. Indexing with WordNet synsets can improve text retrieval. In Proc. COLING/ACL Workshop on Usage of WordNet for Natural Language Processing, 1998.
[2]
G. Koutrika and Y. Ioannidis. A unified user profile framework for query disambiguation and personalisation. In Proc. Workshop on New Tech. for Personalized Info. Access, 2005.
[3]
S. Liu, F. Liu, C. Yu, and W. Meng. An effective approach to document retrieval via utilizing WordNet and recognizing phrases. In Proc. ACM SIGIR, 2004.
[4]
R. Mihalcea and D. Moldovan. Semantic indexing using WordNet senses. In Proc. ACL workshop on Recent Advances in NLP and IR, 2000.
[5]
M. Sanderson. Word sense disambiguation and information retrieval. In Proc. ACM SIGIR, 1994.
[6]
X. Shen, B. Tan, and C. Zhai. Implicit user modeling for personalized search. In Proc. CIKM, 2005.
[7]
C. Stokoe, M. P. Oakes, and J. Tait. Word sense disambiguation in information retrieval revisited. In Proc. ACM SIGIR, 2003.
[8]
K. Sugiyama, K. Hatano, and M. Yoshikawa. Adaptive web search based on user profile constructed without any effort from users. In Proc. WWW, 2004.
[9]
J. Teevan, S. T. Dumais, and E. Horvitz. Beyond the commons: Investigating the value of personalizing web search. In Proc. Workshop on New Tech. for Personalized Info. Access, 2005.
[10]
J. Teevan, S. T. Dumais, and E. Horvitz. Personalizing search via automated analysis of interests and activities. In Proc. ACM SIGIR, 2005.
[11]
E. Voorhees and D. Harman. Overview of the fifth Text REtrieval conference. In Proc. TREC, 1997.

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    cover image ACM Conferences
    SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
    July 2007
    946 pages
    ISBN:9781595935977
    DOI:10.1145/1277741
    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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    Publication History

    Published: 23 July 2007

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    1. disambiguation
    2. personalisation

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    SIGIR07
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    SIGIR07: The 30th Annual International SIGIR Conference
    July 23 - 27, 2007
    Amsterdam, The Netherlands

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