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» Aggregating User-Centered Rankings to Improve Web Search
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WWW
2007
ACM
14 years 7 months ago
Utility analysis for topically biased PageRank
PageRank is known to be an efficient metric for computing general document importance in the Web. While commonly used as a one-size-fits-all measure, the ability to produce topica...
Christian Kohlschütter, Paul-Alexandru Chirit...
SIGMOD
2006
ACM
138views Database» more  SIGMOD 2006»
14 years 7 months ago
Context-sensitive ranking
The original PageRank algorithm for improving the ranking of search-query results computes a single vector, using the link structure of the Web, to capture the relative "impor...
Rakesh Agrawal, Ralf Rantzau, Evimaria Terzi
DBISP2P
2005
Springer
183views Database» more  DBISP2P 2005»
14 years 9 days ago
Database Selection and Result Merging in P2P Web Search
Intelligent Web search engines are extremely popular now. Currently, only commercial centralized search engines like Google can process terabytes of Web data. Alternative search en...
Sergey Chernov, Pavel Serdyukov, Matthias Bender, ...
WSDM
2009
ACM
115views Data Mining» more  WSDM 2009»
14 years 1 months ago
Discovering and using groups to improve personalized search
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
Jaime Teevan, Meredith Ringel Morris, Steve Bush
AAAI
2008
13 years 9 months ago
Semi-Supervised Ensemble Ranking
Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance b...
Steven C. H. Hoi, Rong Jin