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» Comparing relevance feedback algorithms for web search
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154
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CIKM
2007
Springer
15 years 7 months ago
Web search personalization with ontological user profiles
Every user has a distinct background and a specific goal when searching for information on the Web. The goal of Web search personalization is to tailor search results to a particu...
Ahu Sieg, Bamshad Mobasher, Robin D. Burke
129
Voted
SIGIR
2005
ACM
15 years 9 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...
168
Voted
ADAPTIVE
2007
Springer
15 years 5 months ago
Personalized Search on the World Wide Web
With the exponential growth of the available information on the World Wide Web, a traditional search engine, even if based on sophisticated document indexing algorithms, has diffi...
Alessandro Micarelli, Fabio Gasparetti, Filippo Sc...
110
Voted
ECIR
2009
Springer
16 years 28 days ago
Quality-Oriented Search for Depression Portals
The problem of low-quality information on the Web is nowhere more important than in the domain of health, where unsound information and misleading advice can have serious consequen...
Thanh Tin Tang, David Hawking, Ramesh S. Sankarana...
164
Voted
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
15 years 9 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...