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» Quality Characteristics of Collaborative Systems
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GROUP
2010
ACM
13 years 8 months ago
Enhancing group recommendation by incorporating social relationship interactions
Group recommendation, which makes recommendations to a group of users instead of individuals, has become increasingly important in both the workspace and people's social acti...
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Ri...
VLSID
2002
IEEE
132views VLSI» more  VLSID 2002»
14 years 10 months ago
VLSI Architecture for a Flexible Motion Estimation with Parameters
If motion estimation can choose the most suitable algorithm according to the changing characteristics of input image signals, we can get benefits, which improve quality and perfor...
Jinku Choi, Nozomu Togawa, Masao Yanagisawa, Tatsu...
VDA
2010
169views Visualization» more  VDA 2010»
14 years 10 days ago
Techniques for precision-based visual analysis of projected data
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
Tobias Schreck, Tatiana von Landesberger, Sebastia...
IAT
2009
IEEE
14 years 4 months ago
Group Recommendation with Automatic Identification of Users Communities
—Recommender systems usually propose items to single users. However, in some domains like Mobile IPTV or Satellite Systems it might be impossible to generate a program schedule f...
Ludovico Boratto, Salvatore Carta, Alessandro Ches...
AINA
2009
IEEE
14 years 3 months ago
Do Metrics Make Recommender Algorithms?
Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of web user profiles. In the las...
Elica Campochiaro, Riccardo Casatta, Paolo Cremone...