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» Using Document Dimensions for Enhanced Information Retrieval
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TOCHI
2010
90views more  TOCHI 2010»
14 years 10 months ago
Potential for personalization
Current Web search tools do a good job of retrieving documents that satisfy the wide range of intentions that people associate with a query – but do not do a very good job of di...
Jaime Teevan, Susan T. Dumais, Eric Horvitz
SIGIR
2012
ACM
13 years 2 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
SIGIR
2003
ACM
15 years 5 months ago
Probabilistic term variant generator for biomedical terms
This paper presents an algorithm to generate possible variants for biomedical terms. The algorithm gives each variant its generation probability representing its plausibility, whi...
Yoshimasa Tsuruoka, Jun-ichi Tsujii
ITCC
2002
IEEE
15 years 4 months ago
Analysis of Combining Multiple Query Representations with Varying Lengths in a Single Engine
We examine the issues of combining multiple query representations in a single IR engine. Differing query representations are used to retrieve different documents. Thus, when combi...
Abdur Chowdhury, Steven M. Beitzel, Eric C. Jensen
WWW
2008
ACM
16 years 15 days ago
Contextual advertising by combining relevance with click feedback
Contextual advertising supports much of the Web's ecosystem today. User experience and revenue (shared by the site publisher ad the ad network) depend on the relevance of the...
Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifo...