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SIGIR
2010
ACM
15 years 2 days ago
Personalised video retrieval: application of implicit feedback and semantic user profiles
TION ABSTRACT Personalised Video Retrieval: Application of Implicit Feedback and Semantic User Profiles Frank Hopfgartner University of Glasgow Glasgow G12 8QQ United Kingdom A ch...
Frank Hopfgartner
149
Voted
WWW
2010
ACM
16 years 9 days ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
CLEF
2007
Springer
15 years 11 months ago
CLEF 2007: Ad Hoc Track Overview
We describe the objectives and organization of the CLEF 2007 ad hoc track and discuss the main characteristics of the tasks offered to test monolingual and cross-language textual d...
Giorgio Maria Di Nunzio, Nicola Ferro, Thomas Mand...
CIKM
2010
Springer
15 years 3 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...
SIGIR
2005
ACM
15 years 11 months ago
Predicting query difficulty on the web by learning visual clues
We describe a method for predicting query difficulty in a precision-oriented web search task. Our approach uses visual features from retrieved surrogate document representations (...
Eric C. Jensen, Steven M. Beitzel, David A. Grossm...