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» Introduction to recommender systems
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IUI
2005
ACM
15 years 3 months ago
Improving proactive information systems
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such ...
Daniel Billsus, David M. Hilbert, Dan Maynes-Aminz...
JNCA
2007
126views more  JNCA 2007»
14 years 9 months ago
Usage derived recommendations for a video digital library
We describe a minimalist methodology to develop usage-based recommender systems for multimedia digital libraries. A prototype recommender system based on this strategy was impleme...
Johan Bollen, Michael L. Nelson, Gary Geisler, Raq...
RECSYS
2010
ACM
14 years 10 months ago
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
John Hannon, Mike Bennett, Barry Smyth

Book
3710views
16 years 7 months ago
A Beginner's Introduction to Typesetting with LATEX
"This book originally accompanied a 2-day course on using the LATEX typesetting system. It has been extensively revised and updated and can now be used for self-study or in th...
Peter Flynn
ESWS
2008
Springer
14 years 11 months ago
Semantic Reasoning: A Path to New Possibilities of Personalization
Abstract. Recommender systems face up to current information overload by selecting automatically items that match the personal preferences of each user. The so-called content-based...
Yolanda Blanco-Fernández, José J. Pa...