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» Document generality: its computation for ranking
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WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
15 years 4 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
108
Voted
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 5 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...
DEXA
2006
Springer
193views Database» more  DEXA 2006»
15 years 1 months ago
Understanding and Enhancing the Folding-In Method in Latent Semantic Indexing
Abstract. Latent Semantic Indexing(LSI) has been proved to be effective to capture the semantic structure of document collections. It is widely used in content-based text retrieval...
Xiang Wang 0002, Xiaoming Jin
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
15 years 10 months ago
Bypass rates: reducing query abandonment using negative inferences
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong
77
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FCT
2005
Springer
15 years 3 months ago
Deterministic Automata on Unranked Trees
Abstract. We investigate bottom-up and top-down deterministic automata on unranked trees. We show that for an appropriate definition of bottom-up deterministic automata it is poss...
Julien Cristau, Christof Löding, Wolfgang Tho...