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» PolyLens: A recommender system for groups of user
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LWA
2007
13 years 8 months ago
Know the Right People? Recommender Systems for Web 2.0
Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
Stefan Siersdorfer, Sergej Sizov, Paul Clough
ICC
2007
IEEE
126views Communications» more  ICC 2007»
14 years 1 months ago
Evaluation of Grouping Strategies for an Hierarchical SDMA/TDMA Scheduling Process
Abstract— Adding SDMA capabilities to modern wireless communication systems like IEEE 802.16 WiMAX promises high system capacity gains but raises the problem of combining orthogo...
Christian Hoymann, Jan Ellenbeck, Ralf Pabst, Marc...
CVPR
2010
IEEE
14 years 3 months ago
iCoseg: Interactive Co-segmentation with Intelligent Scribble Guidance
We present an algorithm for Interactive Cosegmentation of a foreground object from a group of related images. While previous approaches focus on unsupervised co-segmentation, we us...
Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo...
AGENTS
1997
Springer
13 years 11 months ago
An Adaptive Web Page Recommendation Service
An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the \Fab" adaptive W...
Marko Balabanovic
RECSYS
2010
ACM
13 years 7 months ago
Affiliation recommendation using auxiliary networks
Social network analysis has attracted increasing attention in recent years. In many social networks, besides friendship links amongst users, the phenomenon of users associating th...
Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu,...