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131
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SIGIR
2008
ACM
15 years 2 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
JODL
2000
175views more  JODL 2000»
15 years 2 months ago
SPIRE: a digital library for scientific information
In this paper we describe the architecture and implementation of a digital library framework for scientific data, particularly imagery, with a focus on support for content-based se...
Lawrence D. Bergman, Vittorio Castelli, Chung-Shen...
111
Voted
CAISE
2010
Springer
15 years 1 months ago
Search Computing Systems
Search computing is a novel discipline whose goal is to answer complex, multi-domain queries. Such queries typically require combining in their results domain knowledge extracted ...
Stefano Ceri, Marco Brambilla
133
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CJ
2010
131views more  CJ 2010»
14 years 12 months ago
Probabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
Duncan Gillies, David Thornley, Chatschik Bisdikia...
123
Voted
WWW
2010
ACM
15 years 9 months ago
Live web search experiments for the rest of us
There are significant barriers to academic research into user Web search preferences. Academic researchers are unable to manipulate the results shown by a major search engine to ...
Timothy Jones, David Hawking, Ramesh S. Sankaranar...