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» Better control on recommender systems
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104
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IADIS
2008
15 years 3 months ago
Design of Physical Activity Recommendation System
Leisure-time physical activity (LTPA) has been shown to be an effective way of preventing diseases. However 50% of the people who start any type of sports or LTPA drop out of the ...
Ashkan Sami, Ryoichi Nagatomi, Masahiro Terabe, Ka...
JSAC
2007
128views more  JSAC 2007»
15 years 1 months ago
Understanding the Power of Pull-Based Streaming Protocol: Can We Do Better?
— Most of the real deployed peer-to-peer streaming systems adopt pull-based streaming protocol. In this paper, we demonstrate that, besides simplicity and robustness, with proper...
Meng Zhang, Qian Zhang, Lifeng Sun, Shiqiang Yang
PKDD
2007
Springer
125views Data Mining» more  PKDD 2007»
15 years 8 months ago
Tag Recommendations in Folksonomies
Collaborative tagging systems allow users to assign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and ...
Robert Jäschke, Leandro Balby Marinho, Andrea...
88
Voted
WWW
2004
ACM
16 years 2 months ago
PipeCF: a scalable DHT-based collaborative filtering recommendation system
Collaborative Filtering (CF) technique has proved to be one of the most successful techniques in recommendation systems in recent years. However, traditional centralized CF system...
Bo Xie, Peng Han, Ruimin Shen
94
Voted
RECSYS
2009
ACM
15 years 8 months ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ...
Benjamin M. Marlin, Richard S. Zemel