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» Inferring document relevance via average precision
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SIGIR
2005
ACM
13 years 11 months ago
Personalizing search via automated analysis of interests and activities
We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...
Jaime Teevan, Susan T. Dumais, Eric Horvitz
SIGIR
2006
ACM
13 years 11 months ago
Minimal test collections for retrieval evaluation
Accurate estimation of information retrieval evaluation metrics such as average precision require large sets of relevance judgments. Building sets large enough for evaluation of r...
Ben Carterette, James Allan, Ramesh K. Sitaraman
AIR
2005
99views more  AIR 2005»
13 years 5 months ago
Evolving General Term-Weighting Schemes for Information Retrieval: Tests on Larger Collections
Term-weighting schemes are vital to the performance of Information Retrieval models that use term frequency characteristics to determine the relevance of a document. The vector spa...
Ronan Cummins, Colm O'Riordan
CIKM
2004
Springer
13 years 11 months ago
Unified utility maximization framework for resource selection
This paper presents a unified utility framework for resource selection of distributed text information retrieval. This new framework shows an efficient and effective way to infer ...
Luo Si, James P. Callan
CIKM
2005
Springer
13 years 11 months ago
Document quality models for web ad hoc retrieval
The quality of document content, which is an issue that is usually ignored for the traditional ad hoc retrieval task, is a critical issue for Web search. Web pages have a huge var...
Yun Zhou, W. Bruce Croft