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KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 8 months ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
CIKM
2009
Springer
14 years 2 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...
EWCBR
2006
Springer
13 years 11 months ago
Supplementing Case-based Recommenders with Context Data
Abstract. We propose that traditional case-based recommender systems can be improved by informing them with context data describing the user's environment. We outline existing...
Lorcan Coyle, Evelyn Balfe, Graeme Stevenson, Stev...
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
14 years 2 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
JNCA
2007
126views more  JNCA 2007»
13 years 7 months ago
Usage derived recommendations for a video digital library
We describe a minimalist methodology to develop usage-based recommender systems for multimedia digital libraries. A prototype recommender system based on this strategy was impleme...
Johan Bollen, Michael L. Nelson, Gary Geisler, Raq...