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» Learning to rank for information retrieval (LR4IR 2008)
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WWW
2007
ACM
16 years 11 days ago
On ranking techniques for desktop search
This paper addresses the desktop search problem by considering various techniques for ranking results of a search query over the file system. First, basic ranking techniques, whic...
Sara Cohen, Carmel Domshlak, Naama Zwerdling
WWW
2005
ACM
16 years 11 days ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
SAC
2008
ACM
14 years 11 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng
CLEF
2008
Springer
15 years 1 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
ECIR
2011
Springer
14 years 3 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