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» Creating New User Experiences to Enhance Collaboration
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SIGIR
2006
ACM
15 years 5 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
DEBU
2008
59views more  DEBU 2008»
14 years 12 months ago
Social Wisdom for Search and Recommendation
Social-tagging communities offer great potential for smart recommendation and "socially enhanced" searchresult ranking. Beyond traditional forms of collaborative recomme...
Ralf Schenkel, Tom Crecelius, Mouna Kacimi, Thomas...
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
16 years 6 days ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
COLCOM
2007
IEEE
15 years 1 months ago
Using context to assist the adaptation of protected multimedia content in virtual collaboration applications
—This paper proposes a framework for a virtual classroom application based on a Virtual Collaboration System (VCS), which is being developed under the VISNET II Network of Excell...
Maria Teresa Andrade, Hemantha Kodikara Arachchi, ...
CHI
2007
ACM
16 years 6 days ago
Koala: capture, share, automate, personalize business processes on the web
We present Koala, a system that enables users to capture, share, automate, and personalize business processes on the web. Koala is a collaborative programming-bydemonstration syst...
Greg Little, Tessa A. Lau, Allen Cypher, James Lin...