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ICASSP
2011
IEEE
13 years 1 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...
HICSS
2007
IEEE
135views Biometrics» more  HICSS 2007»
14 years 4 months ago
Context-Based Recommender Systems in Conventional Grocery--An Economic Analysis
In today’s grocery the products are getting more homogenous and attributes are getting more complex. Consumers should be supported in their decisions during the shopping process...
Daniel Ch. Buser
HICSS
2007
IEEE
135views Biometrics» more  HICSS 2007»
14 years 4 months ago
Extending the Applicability of Recommender Systems: A Multilayer Framework for Matching Human Resources
Recommender Systems (RS) so far have been applied to many fields of e-commerce in order to assist users in finding the products that best meet their preferences. However, while th...
Tobias Keim
ADAPTIVE
2007
Springer
14 years 4 months ago
Collaborative Filtering Recommender Systems
One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items th...
J. Ben Schafer, Dan Frankowski, Jonathan L. Herloc...
ECAI
2008
Springer
13 years 11 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