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» Modeling Preferences in a Distributed Recommender System
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RECSYS
2009
ACM
14 years 1 months ago
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
Akhmed Umyarov, Alexander Tuzhilin
KCAP
2003
ACM
14 years 20 days 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...
EDBT
2012
ACM
299views Database» more  EDBT 2012»
11 years 9 months ago
RecStore: an extensible and adaptive framework for online recommender queries inside the database engine
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
ICCBR
2005
Springer
14 years 28 days ago
Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks
Typically, case-based recommender systems recommend single items to the on-line customer. In this paper we introduce the idea of recommending a user-defined collection of items whe...
Conor Hayes, Paolo Avesani, Emiliano Baldo, Padrai...
CSCWD
2005
Springer
14 years 28 days ago
Supporting peer-to-peer collaboration through trust
Distributed systems generally require their component parts to interact cooperatively, in order for the system as a whole to function effectively. For any given activity, several ...
Nathan Griffiths, Shanghua Sun