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ECAI
2008
Springer
13 years 9 months ago
Probabilistic Reinforcement Rules for Item-Based Recommender Systems
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
Sylvain Castagnos, Armelle Brun, Anne Boyer
CLEIEJ
2008
103views more  CLEIEJ 2008»
13 years 7 months ago
An Ontology-based Framework and its Application to Effective Collaboration
In the past few years Artificial Intelligence has been gradually introduced to enhance Education through technologies. However, usual approaches provide systems with a kind of exp...
Seiji Isotani, Riichiro Mizoguchi
SIGMOD
2008
ACM
130views Database» more  SIGMOD 2008»
14 years 7 months ago
From del.icio.us to x.qui.site: recommendations in social tagging sites
We present x.qui.site, a scalable system for managing recommendations for social tagging sites like del.icio.us. seamlessly incorporates various user behaviors into the recommenda...
Sihem Amer-Yahia, Alban Galland, Julia Stoyanovich...
ICASSP
2011
IEEE
12 years 11 months ago
Efficiently computing private recommendations
Online recommender systems enable personalized service to users. The underlying collaborative filtering techniques operate on privacy sensitive user data, which could be misused ...
Zekeriya Erkin, M. Beye, T. Veugen, Reginald L. La...
EEE
2005
IEEE
14 years 1 months ago
Semantic Feedback for Hybrid Recommendations in Recommendz
In this paper we discuss the Recommendz 1 recommender system. This domain-independent system combines the advantages of collaborative and content-based filtering in a novel way. ...
Matthew Garden, Gregory Dudek