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» Ranking in context-aware recommender systems
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KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 10 months ago
Nantonac collaborative filtering: recommendation based on order responses
A recommender system suggests the items expected to be preferred by the users. Recommender systems use collaborative filtering to recommend items by summarizing the preferences of...
Toshihiro Kamishima
ICCBR
2003
Springer
14 years 3 months ago
Product Recommendation with Interactive Query Management and Twofold Similarity
Abstract. This paper describes an approach to product recommendation that combines in a novel way content- and collaborative-based filtering techniques. The system helps the user ...
Francesco Ricci, Adriano Venturini, Dario Cavada, ...
FSS
2008
108views more  FSS 2008»
13 years 10 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, ...
ECWEB
2010
Springer
219views ECommerce» more  ECWEB 2010»
13 years 11 months ago
Semantic Tag Cloud Generation via DBpedia
Abstract. Many current recommender systems exploit textual annotations (tags) provided by users to retrieve and suggest online contents. The text-based recommendation provided by t...
Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, ...
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 5 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...