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» Dynamically-optimized context in recommender systems
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KCAP
2003
ACM
14 years 1 months ago
Capturing interest through inference and visualization: ontological user profiling in recommender systems
Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a diverse and dynamic environment. Recommender systems ...
Stuart E. Middleton, Nigel R. Shadbolt, David De R...
SIGIR
2011
ACM
12 years 11 months ago
Fast context-aware recommendations with factorization machines
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
Steffen Rendle, Zeno Gantner, Christoph Freudentha...
CHI
2005
ACM
14 years 8 months ago
Context-aware collaborative filtering system: predicting the user's preferences in ubiquitous computing
In this paper I propose a context-aware collaborative filtering system that can predict a user's preference in different context situations based on past user-experiences. Th...
Annie Chen
KER
2008
105views more  KER 2008»
13 years 8 months ago
Situational reasoning for task-oriented mobile service recommendation
We study the case of integrating situational reasoning into a mobile service recommendation system. Since mobile Internet services are rapidly proliferating, finding and using appr...
Marko Luther, Yusuke Fukazawa, Matthias Wagner, Sh...
ISCI
2007
74views more  ISCI 2007»
13 years 8 months ago
One-and-only item recommendation with fuzzy logic techniques
act 11 Recommender systems anticipate users’ needs by suggesting items that are likely to interest them. Most existing systems 12 employ collaborative filtering (CF) techniques,...
Chris Cornelis, Jie Lu, Xuetao Guo, Guanquang Zhan...