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» Learning to rank for information retrieval
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SIGIR
2005
ACM
15 years 3 months ago
When will information retrieval be "good enough"?
We describe a user study that examined the relationship between the quality of an Information Retrieval system and the effectiveness of its users in performing a task. The task i...
James Allan, Ben Carterette, Joshua Lewis
SIGIR
2010
ACM
14 years 8 months ago
On performance of topical opinion retrieval
We investigate the effectiveness of both the standard evaluation measures and the opinion component for topical opinion retrieval. We analyze how relevance is affected by opinio...
Giambattista Amati, Giuseppe Amodeo, Valerio Capoz...
ICML
2005
IEEE
15 years 10 months ago
Learn to weight terms in information retrieval using category information
How to assign appropriate weights to terms is one of the critical issues in information retrieval. Many term weighting schemes are unsupervised. They are either based on the empir...
Rong Jin, Joyce Y. Chai, Luo Si
NLPRS
2001
Springer
15 years 2 months ago
Japanese Information Retrieval Method Using Syntactic and Statistical Information
This paper presents a Japanese information retrieval method using the dependency relationship between words and semantic and statistical information about them. Our method gives a...
Tsunenori Mine, Hiroki Fujitani, Makoto Amamiya
IR
2010
14 years 8 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...