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» A Knowledge Recommend System Based on User Model
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WWW
2004
ACM
14 years 8 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
RTAS
1998
IEEE
14 years 4 days ago
Using Windows NT for Real-Time Applications: Experimental Observations and Recommendations
Windows NT was not designed as a real-time operating system, but market forces and the acceptance of NT in industrial applications have generated a need for achieving real-time fu...
Krithi Ramamritham, Chia Shen, Oscar Gonzál...
SIGIR
2003
ACM
14 years 1 months ago
The Personalized, Collaborative Digital Library Environment CYCLADES and Its Collections Management
Usually, a Digital Library (DL) is an information resource where users may submit queries to satisfy their daily information need. The CYCLADES system envisages a DL additionally a...
Leonardo Candela, Umberto Straccia
RECSYS
2010
ACM
13 years 8 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
SIGIR
2009
ACM
14 years 2 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra