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136
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 8 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...
ISSTA
2012
ACM
13 years 3 months ago
Cooperative types for controlling thread interference in Java
Multithreaded programs are notoriously prone to unintended interference between concurrent threads. To address this problem, we argue that yield annotations in the source code sho...
Jaeheon Yi, Tim Disney, Stephen N. Freund, Cormac ...
170
Voted
NAR
2011
267views Computer Vision» more  NAR 2011»
14 years 7 months ago
EcoCyc: a comprehensive database of Escherichia coli biology
EcoCyc (http://EcoCyc.org) is a comprehensive model organism database for Escherichia coli K-12 MG1655. From the scientific literature, EcoCyc captures the functions of individual...
Ingrid M. Keseler, Julio Collado-Vides, Alberto Sa...
WWW
2008
ACM
16 years 1 months ago
Contextual advertising by combining relevance with click feedback
Contextual advertising supports much of the Web's ecosystem today. User experience and revenue (shared by the site publisher ad the ad network) depend on the relevance of the...
Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifo...
107
Voted
WWW
2008
ACM
16 years 1 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...