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» Predicting user interests from contextual information
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WISE
2010
Springer
14 years 7 months ago
From Keywords to Queries: Discovering the User's Intended Meaning
Abstract. Regarding web searches, users have become used to keywordbased search interfaces due to their ease of use. However, this implies a semantic gap between the user's in...
Carlos Bobed, Raquel Trillo, Eduardo Mena, Sergio ...
IPM
2008
139views more  IPM 2008»
14 years 9 months ago
Complex adaptive filtering user profile using graphical models
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
Yi Zhang 0001
IADIS
2004
14 years 11 months ago
Seeking for Clues about Users' Information Needs in Their Navigation
Adaptive navigation systems are tools intended to assist users when they search the Web. Thus, they often have to know the users' current information needs (IN). However, the...
Jean-Yves Delort
SIGIR
2003
ACM
15 years 3 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
WWW
2009
ACM
15 years 10 months ago
Deriving music theme annotations from user tags
Music theme annotations would be really beneficial for supporting retrieval, but are often neglected by users while annotating. Thus, in order to support users in tagging and to f...
Kerstin Bischoff, Claudiu S. Firan, Raluca Paiu