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ACL
2006
15 years 2 months ago
Argumentative Feedback: A Linguistically-Motivated Term Expansion for Information Retrieval
We report on the development of a new automatic feedback model to improve information retrieval in digital libraries. Our hypothesis is that some particular sentences, selected ba...
Patrick Ruch, Imad Tbahriti, Julien Gobeill, Alan ...
ERCIMDL
2007
Springer
87views Education» more  ERCIMDL 2007»
15 years 7 months ago
Thesaurus-Based Feedback to Support Mixed Search and Browsing Environments
We propose and evaluate a query expansion mechanism that supports searching and browsing in collections of annotated documents. Based on generative language models, our feedback me...
Edgar Meij, Maarten de Rijke
CVPR
2012
IEEE
13 years 3 months ago
Three things everyone should know to improve object retrieval
The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the...
Relja Arandjelovic, Andrew Zisserman
CIKM
2008
Springer
15 years 3 months ago
Using the current browsing context to improve search relevance
In this paper, we investigate the problem of improving the relevance of a Web search engine by adapting it to the dynamic needs of the user. We examine a representative case of su...
Mandar Rahurkar, Silviu Cucerzan
SIGIR
2010
ACM
15 years 5 months ago
Estimation of statistical translation models based on mutual information for ad hoc information retrieval
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Maryam Karimzadehgan, ChengXiang Zhai