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Abstract: Recent web search techniques augment traditional text matching with a global notion of "importance" based on the linkage structure of the web, such as in Google's PageRank algorithm. For more refined searches, this global notion of importance can be specialized to create personalized views of importance -- for example, importance scores can be biased according to a user-specified set of initially interesting pages. Computing and storing all possible personalized views in advance is impractical, ... (Update)
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BibTeX entry: (Update)
Glen Jeh and Jennifer Widom. Scaling personalized web search. Stanford University Technical Report, 2002. http://citeseer.ist.psu.edu/jeh02scaling.html More
@misc{ jeh02scaling,
author = "G. Jeh and J. Widom",
title = "Scaling personalized web search",
text = "Glen Jeh and Jennifer Widom. Scaling personalized web search. Stanford
University Technical Report, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/jeh02scaling.html" }
Citations (may not include all citations):837 Cambridge University Press (context) - Motwani, Raghavan - 1995
576 Authoritative sources in a hyperlinked environment - Kleinberg - 1998
344 The PageRank citation ranking: Bringing order to the Web - Page, Brin et al. - 1998
82 Topic-sensitive PageRank - Haveliwala - 2002
64 WebBase: A repository of web pages - Hirai, Raghavan et al. - 2000
45 Proximity search in databases - Goldman, Shivakumar et al. - 1998
38 The intelligent surfer: Probabilistic combination of link an.. - Richardson, Domingos - 2002
26 Efficient computation of PageRank - Haveliwala - 1999
16 SimRank: A measure of structural-context similarity - Jeh, Widom - 2002
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SimRank: A Measure of Structural-Context Similarity - Jeh, Widom (2002) (Correct)
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