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124
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WEBDB
2010
Springer
171views Database» more  WEBDB 2010»
15 years 7 months ago
Improved Recommendations via (More) Collaboration
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...
Rubi Boim, Haim Kaplan, Tova Milo, Ronitt Rubinfel...
129
Voted
CHI
1995
ACM
15 years 6 months ago
User Embodiment in Collaborative Virtual Environments
This paper explores the issue of user embodiment within collaborative virtual environments. By user embodiment we mean the provision of users with appropriate body images so as to...
Steve Benford, John Bowers, Lennart E. Fahlé...
173
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BERTINORO
2005
Springer
15 years 8 months ago
Emergent Consensus in Decentralised Systems Using Collaborative Reinforcement Learning
Abstract. This paper describes the application of a decentralised coordination algorithm, called Collaborative Reinforcement Learning (CRL), to two different distributed system pr...
Jim Dowling, Raymond Cunningham, Anthony Harringto...
137
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DGO
2007
150views Education» more  DGO 2007»
15 years 4 months ago
Event-triggered data and knowledge sharing among collaborating government organizations
Solving complex global problems such as illegal immigration, border control, and terrorism requires government organizations at all levels to share not only data but, more importa...
Seema Degwekar, Jeff DePree, Howard W. Beck, Carla...
111
Voted
CHI
2008
ACM
16 years 3 months ago
PeerChooser: visual interactive recommendation
Collaborative filtering (CF) has been successfully deployed over the years to compute predictions on items based on a user's correlation with a set of peers. The black-box na...
Barry Smyth, Brynjar Gretarsson, John O'Donovan, S...