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SIGIR
2009
ACM
13 years 11 months ago
Risky business: modeling and exploiting uncertainty in information retrieval
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...
SIGIR
2006
ACM
13 years 11 months ago
Regularized estimation of mixture models for robust pseudo-relevance feedback
Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...
Tao Tao, ChengXiang Zhai
DEBU
2007
142views more  DEBU 2007»
13 years 5 months ago
Multi-lingual Indexing Support for CLIR using Language Modeling
An indexing model is the heart of an Information Retrieval (IR) system. Data structures such as term based inverted indices have proved to be very effective for IR using vector sp...
Prasad Pingali, Vasudeva Varma
CLEF
2007
Springer
13 years 11 months ago
Stemming Approaches for East European Languages
In our participation in this CLEF evaluation campaign, the first objective is to propose and evaluate various indexing and search strategies for the Czech language in order to hop...
Ljiljana Dolamic, Jacques Savoy
IPM
2007
105views more  IPM 2007»
13 years 5 months ago
Parsimonious translation models for information retrieval
In the KL divergence framework, the extended language modeling approach has a critical problem estimating a query model, which is the probabilistic model that encodes user’s inf...
Seung-Hoon Na, In-Su Kang, Jong-Hyeok Lee