Taher H. Haveliwala  Home/Search
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Abstract: In the original PageRank algorithm for improving the ranking of search-query results, a single PageRank vector is computed, using the link structure of the Web, to capture the relative "importance" of Web pages, independent of any particular search query. To yield more accurate search results, we propose computing a set of PageRank vectors, biased using a set of representative topics, to capture more accurately the notion of importance with respect to a particular topic. By using these... (Update)
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BibTeX entry: (Update)
Taher H. Haveliwala. Topic-sensitive PageRank. In Proceedings of the Eleventh International World Wide Web Conference, Honolulu, Hawaii, May 2002. http://citeseer.ist.psu.edu/haveliwala02topicsensitive.html More
@inproceedings{ haveliwala02topicsensitive,
author = "Taher H. Haveliwala",
title = "Topic-sensitive PageRank",
booktitle = "Proceedings of the Eleventh International World Wide Web Conference",
address = "Honolulu, Hawaii",
month = May,
year = 2002,
url = "citeseer.ist.psu.edu/haveliwala02topicsensitive.html" }
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641 The anatomy of a large-scale hypertextual web search engine - Brin, Page - 1998 ACM DBLP
576 Authoritative sources in a hyperlinked environment - Kleinberg - 1998 ACM DBLP
163 Improved algorithms for topic distillation in a hyperlinked .. - Bharat, Henzinger - 1998 ACM DBLP
154 Automatic resource compilation by analyzing hyperlink struct.. - Chakrabarti, Dom et al. - 1998 ACM DBLP
64 Webbase: A repository of web pages - Hirai, Raghavan et al. - 2000 DBLP
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38 The Intelligent Surfer: Probabilistic Combination of Link an.. - Richardson, Domingos - 2002 DBLP
26 Efficient computation of PageRank - Haveliwala - 1999
25 What can you do with a web in your pocket - Brin, Motwani et al. - 1998
14 Placing search in context: the concept revisited - Finkelstein, Gabrilovich et al. - 2001 DBLP
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