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» Learning Models for Ranking Aggregates
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ECIR
2011
Springer
14 years 4 months ago
Balancing Exploration and Exploitation in Learning to Rank Online
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
98
Voted
SIGIR
2008
ACM
15 years 21 days ago
Query dependent ranking using K-nearest neighbor
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, H...
CIKM
2010
Springer
14 years 10 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
108
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...
105
Voted
WWW
2003
ACM
16 years 1 months ago
A new paradigm for ranking pages on the world wide web
This paper describes a new paradigm for modeling traffic levels on the world wide web (WWW) using a method of entropy maximization. This traffic is subject to the conservation con...
John A. Tomlin