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» A Multi Agent Approach to Interest Profiling of Users
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HICSS
2003
IEEE
186views Biometrics» more  HICSS 2003»
15 years 2 months ago
Personalization through Mask Marketing
Customized marketing, so called 1-to-1 marketing, is often viewed as the panacea of e-commerce. User profiles, such as click streams logging every site the user accesses, are expl...
Moritz Strasser, Alf Zugenmaier
AAAI
2006
14 years 11 months ago
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
OHS
2001
Springer
15 years 1 months 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...
ATAL
2007
Springer
15 years 3 months ago
An agent-based approach for privacy-preserving recommender systems
Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
Richard Cissée, Sahin Albayrak
HT
2010
ACM
14 years 11 months ago
Assessing users' interactions for clustering web documents: a pragmatic approach
In this paper we are interested in describing Web pages by how users interact within their contents. Thus, an alternate but complementary way of labelling and classifying Web docu...
Luis A. Leiva, Enrique Vidal