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» Online learning to diversify from implicit feedback
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ICASSP
2008
IEEE
14 years 1 months ago
Music preference learning with partial information
We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user...
Yvonne Moh, Peter Orbanz, Joachim M. Buhmann
SIGIR
2004
ACM
14 years 4 days ago
Eye-tracking analysis of user behavior in WWW search
We investigate how users interact with the results page of a WWW search engine using eye-tracking. The goal is to gain into how users browse the presented abstracts and how they s...
Laura A. Granka, Thorsten Joachims, Geri Gay
SIGGRAPH
2003
ACM
13 years 12 months ago
Forum: a new approach for the production of educational content
eLearning is developing at an ever increasing rate as universities and colleges recognize its vast potential to reach a deeper and fragmented student pool. For a while, eLearning ...
Christine Daviault, Marcelo Coelho
RECSYS
2009
ACM
14 years 1 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
NAACL
2010
13 years 4 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...