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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
CIKM
2008
Springer
13 years 9 months ago
Using English information in non-English web search
The leading web search engines have spent a decade building highly specialized ranking functions for English web pages. One of the reasons these ranking functions are effective is...
Wei Gao, John Blitzer, Ming Zhou
ICDE
2009
IEEE
194views Database» more  ICDE 2009»
14 years 9 months ago
Effective XML Keyword Search with Relevance Oriented Ranking
Abstract-- Inspired by the great success of information retrieval (IR) style keyword search on the web, keyword search on XML has emerged recently. The difference between text data...
Zhifeng Bao, Tok Wang Ling, Bo Chen, Jiaheng Lu
EDBT
2006
ACM
137views Database» more  EDBT 2006»
14 years 7 months ago
IQN Routing: Integrating Quality and Novelty in P2P Querying and Ranking
Abstract. We consider a collaboration of peers autonomously crawling the Web. A pivotal issue when designing a peer-to-peer (P2P) Web search engine in this environment is query rou...
Sebastian Michel, Matthias Bender, Peter Triantafi...
CIKM
2009
Springer
13 years 8 months ago
Improving search engines using human computation games
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...