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» Recommender System for Online Dating Service
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OHS
2001
Springer
14 years 4 days ago
Integrating User Data and Collaborative Filtering in a Web Recommendation System
Web-based applications with a large variety of users suffer from the inability to satisfy heterogeneous needs. A remedy for the negative effects of the traditional "one-size-...
Paolo Buono, Maria Francesca Costabile, Stefano Gu...
WWW
2009
ACM
14 years 8 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
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...
PRICAI
2004
Springer
14 years 1 months ago
A New Collaborative Recommender System Addressing Three Problems
Abstract. With the development of e-commerce and information access, a large amount of information can be found online, which makes a good recommendation service to be urgently nec...
Byeong Man Kim, Qing Li, Jong-Wan Kim, Jinsoo Kim
HICSS
2007
IEEE
135views Biometrics» more  HICSS 2007»
14 years 2 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