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» Direct Optimization of Ranking Measures
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101
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SIAMCO
2011
14 years 5 months ago
Consistency of Sequential Bayesian Sampling Policies
We consider Bayesian information collection, in which a measurement policy collects information to support a future decision. This framework includes ranking and selection, continu...
Peter Frazier, Warren B. Powell
84
Voted
CCS
2011
ACM
13 years 10 months ago
SURF: detecting and measuring search poisoning
Search engine optimization (SEO) techniques are often abused to promote websites among search results. This is a practice known as blackhat SEO. In this paper we tackle a newly em...
Long Lu, Roberto Perdisci, Wenke Lee
81
Voted
SIGIR
2010
ACM
15 years 2 months ago
Assessing the scenic route: measuring the value of search trails in web logs
Search trails mined from browser or toolbar logs comprise queries and the post-query pages that users visit. Implicit endorsements from many trails can be useful for search result...
Ryen W. White, Jeff Huang
89
Voted
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
AAAI
2007
15 years 16 days ago
Stochastic Optimization for Collision Selection in High Energy Physics
Artificial intelligence has begun to play a critical role in basic science research. In high energy physics, AI methods can aid precision measurements that elucidate the underlyi...
Shimon Whiteson, Daniel Whiteson