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RECSYS
2009
ACM
15 years 6 months ago
A partial-order based active cache for recommender systems
Recommender systems aim to substantially reduce information overload by suggesting lists of similar items that users may find interesting. Caching has been a useful technique for...
Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michae...
FSS
2008
108views more  FSS 2008»
14 years 12 months ago
A collaborative recommender system based on probabilistic inference from fuzzy observations
The problem of building recommender systems has attracted considerable attention in recent years. The objective of this paper is to automatically suggest and rank a list of new it...
Luis M. de Campos, Juan M. Fernández-Luna, ...
CIKM
2009
Springer
15 years 6 months ago
Hydra: a hybrid recommender system [cross-linked rating and content information]
This paper discusses the combination of collaborative and contentbased filtering in the context of web-based recommender systems. In particular, we link the well-known MovieLens ...
Stephan Spiegel, Jérôme Kunegis, Fang...
IFIPTM
2009
171views Management» more  IFIPTM 2009»
14 years 9 months ago
Trust-Enhanced Recommender Systems for Efficient On-Line Collaboration
Trust has been explored by many researchers in the past as a solution for assisting the process of recommendation production. In this work we are examining the feasibility of build...
Georgios Pitsilis
IJCAI
2007
15 years 1 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci