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» Adaptive relevance feedback in information retrieval
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LWA
2008
13 years 10 months ago
Towards CoPing with Information Overload
The problem of information overload has been addressed by several systems. However, many approaches are limited to informal artifacts and need to refer to the user for reference o...
Christine Müller
WWW
2008
ACM
14 years 9 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...
SIGIR
2012
ACM
11 years 11 months ago
Active query selection for learning rankers
Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...
Mustafa Bilgic, Paul N. Bennett
WWW
2010
ACM
14 years 3 months ago
Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data
Leveraging clickthrough data has become a popular approach for evaluating and optimizing information retrieval systems. Although data is plentiful, one must take care when interpr...
Yisong Yue, Rajan Patel, Hein Roehrig
CLEF
2008
Springer
13 years 10 months ago
Cheshire at GeoCLEF 2008: Text and Fusion Approaches for GIR
In this paper we will briefly describe the approaches taken by Berkeley for the main GeoCLEF 2008 tasks (Mono and Bilingual retrieval). The approach this year used probabilistic t...
Ray R. Larson