Ranking by Community Relevance

Lan Nie, Brian D. Davison and Baoning Wu.

Poster Summary (2 pages)
Official ACM published version: http://doi.acm.org/10.1145/1277741.1277952
Author's copy: PDF (114KB)

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.

Poster summary in Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 873-874, Amsterdam, July 2007.

© ACM, 2007. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.

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Last modified: 20 November 2008
Brian D. Davison