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Multi-factor clustering for a marketplace search interface

Published: 08 May 2007 Publication History

Abstract

Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to return the documents that are of relevance to the user but often a large number of results may be returned. Users struggle to manage this vast result set looking for the items of interest. Clustering search results is one way of alleviating this navigational pain. In this paper we describe a clustering system that enables clustering search results in an online marketplace search system.

References

[1]
S. Kurtz. Reducing the space requirements of suffix trees. Software - Practice and Experience. 29(13), 1149--1171, 1999.
[2]
O. Zamir and O. Etzioni. Grouper: A dynamic clustering interface to web search results. Proceeedings of the 8th World Wide Web Conference, Toronto, Canada.
[3]
D. Gusfield. Algorithms on strings, trees, and sequences: computer science and computational biology, chap 6. Cambridge University Press, 1997.

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cover image ACM Conferences
WWW '07: Proceedings of the 16th international conference on World Wide Web
May 2007
1382 pages
ISBN:9781595936547
DOI:10.1145/1242572
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: 08 May 2007

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Author Tags

  1. algorithms
  2. clustering
  3. linear
  4. suffix-tree

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WWW'07
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WWW'07: 16th International World Wide Web Conference
May 8 - 12, 2007
Alberta, Banff, Canada

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