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» Online learning to diversify from implicit feedback
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ICASSP
2008
IEEE
15 years 4 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
74
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SIGIR
2004
ACM
15 years 3 months 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
15 years 2 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
15 years 4 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
14 years 7 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...