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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...
AIRWEB
2006
Springer
13 years 11 months ago
Adversarial Information Retrieval Aspects of Sponsored Search
Search engines are commercial entities that require revenue to survive. The most prevalent revenue stream for search engines is sponsored search, where content providers have sear...
Bernard J. Jansen
SIGIR
2004
ACM
14 years 1 months ago
Answer models for question answering passage retrieval
Answer patterns have been shown to improve the performance of open-domain factoid QA systems. Their use, however, requires either constructing the patterns manually or developing ...
Andrés Corrada-Emmanuel, W. Bruce Croft
ICML
2000
IEEE
14 years 8 months ago
Learning to Probabilistically Identify Authoritative Documents
We describe a model of document citation that learns to identify hubs and authorities in a set of linked documents, such as pages retrieved from the world wide web, or papers retr...
David Cohn, Huan Chang
CIKM
2010
Springer
13 years 5 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee