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» Recommendation Systems: A Probabilistic Analysis
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IJCAI
2003
13 years 9 months ago
Case-Based Recommender Systems: A Unifying View
Abstract. This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem sol...
Fabiana Lorenzi, Francesco Ricci
FLAIRS
2004
13 years 9 months ago
In-Depth Analysis of Similarity Knowledge and Metric Contributions to Recommender Performance
Initial successes in the area of recommender systems have led to considerable early optimism. However as a research community, we are still in the early days of our understanding ...
Derry O'Sullivan, Barry Smyth, David C. Wilson
FAC
2007
94views more  FAC 2007»
13 years 8 months ago
Parametric probabilistic transition systems for system design and analysis
Abstract. We develop a model of Parametric Probabilistic Transition Systems, where probabilities associated with transitions may be parameters. We show how to find instances of th...
Ruggero Lanotte, Andrea Maggiolo-Schettini, Angelo...
COOPIS
2004
IEEE
14 years 4 days ago
Paradigms for Decentralized Social Filtering Exploiting Trust Network Structure
Recommender systems, notably collaborative and hybrid information filtering approaches, vitally depend on neighborhood formation, i.e., selecting small subsets of most relevant pee...
Cai-Nicolas Ziegler, Georg Lausen
AICS
2009
13 years 6 months ago
Robustness Analysis of Model-Based Collaborative Filtering Systems
Collaborative filtering (CF) recommender systems are very popular and successful in commercial application fields. However, robustness analysis research has shown that conventional...
Zunping Cheng, Neil Hurley