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» An Update on Generalized Information Theory
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SIGIR
2002
ACM
14 years 10 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer
CIKM
2009
Springer
14 years 8 months ago
Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments
Research on relevance feedback (RFB) in information retrieval (IR) has given mixed results. Success in RFB seems to depend on the searcher's willingness to provide feedback a...
Kalervo Järvelin
WWW
2004
ACM
15 years 11 months ago
Propagation of trust and distrust
A (directed) network of people connected by ratings or trust scores, and a model for propagating those trust scores, is a fundamental building block in many of today's most s...
Ramanathan V. Guha, Ravi Kumar, Prabhakar Raghavan...
86
Voted
WSDM
2009
ACM
112views Data Mining» more  WSDM 2009»
15 years 5 months ago
Finding text reuse on the web
With the overwhelming number of reports on similar events originating from different sources on the web, it is often hard, using existing web search paradigms, to find the origi...
Michael Bendersky, W. Bruce Croft
CIKM
2009
Springer
15 years 5 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang