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Ranking by community relevance

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SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 873 - 874

https://doi.org/10.1145/1277741.1277952

Published: 23 July 2007 Publication History

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Abstract

A web page may be relevant to multiple topics; even when nominally on a single topic, the page may attract attention (and thus links) from multiple communities. Instead of indiscriminately summing the authority provided by all pages, we decompose a web page into separate subnodes with respect to each community pointing to it. By considering the relevance of these communities, we are able to better model the query-specific reputation for each potential result. We apply a total of 125 queries to the TREC .GOV dataset to demonstrate how the use of community relevance can improve ranking performance.

References

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L. Nie, B. D. Davison, and X. Qi. Topical link analysis for web search. In Proc. of the 29th Annual Int'l ACM SIGIR Conference on Research and Development in Information Retrieval, pages 91--98, Aug. 2006.

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L. Nie, B. D. Davison, B. Wu. From whence does your authority come? Utilizing community relevance in ranking. In Proc. of the 22nd Conference on Artificial Intelligence (AAAI), Vancouver, July 2007.

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Cited By

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Fu C(2019)User correlation model for question recommendation in community question answeringApplied Intelligence10.1007/s10489-019-01544-yOnline publication date: 5-Aug-2019
https://doi.org/10.1007/s10489-019-01544-y
Zhu HChen EXiong HCao HTian J(2014)Ranking user authority with relevant knowledge categories for expert findingWorld Wide Web10.1007/s11280-013-0217-517:5(1081-1107)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1007/s11280-013-0217-5
Nie LDavison BChua TLeong MMyaeng SOard DSebastiani F(2008)Separate and inequalProceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval10.1145/1390334.1390411(443-450)Online publication date: 20-Jul-2008
https://dl.acm.org/doi/10.1145/1390334.1390411

Index Terms

Ranking by community relevance
1. Information systems
  1. Information retrieval
    1. Document representation

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Published In

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

General Chairs:
Wessel Kraaij
TNO, The Netherlands
,
Arjen P. de Vries
CWI, The Netherlands
,
Program Chairs:
Charles L. A. Clarke
University of Waterloo, Canada
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Noriko Kando
National Institute of Informatics, Japan

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

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Published: 23 July 2007

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SIGIR07: The 30th Annual International SIGIR Conference

July 23 - 27, 2007

Amsterdam, The Netherlands

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Fu C(2019)User correlation model for question recommendation in community question answeringApplied Intelligence10.1007/s10489-019-01544-yOnline publication date: 5-Aug-2019
https://doi.org/10.1007/s10489-019-01544-y
Zhu HChen EXiong HCao HTian J(2014)Ranking user authority with relevant knowledge categories for expert findingWorld Wide Web10.1007/s11280-013-0217-517:5(1081-1107)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1007/s11280-013-0217-5
Nie LDavison BChua TLeong MMyaeng SOard DSebastiani F(2008)Separate and inequalProceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval10.1145/1390334.1390411(443-450)Online publication date: 20-Jul-2008
https://dl.acm.org/doi/10.1145/1390334.1390411

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Topical link analysis for web search

A study of results overlap and uniqueness among major web search engines

Ranking target objects of navigational queries

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