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» Collaborative filtering with privacy via factor analysis
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ATAL
2007
Springer
14 years 1 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
ESA
2006
Springer
134views Algorithms» more  ESA 2006»
13 years 11 months ago
An Improved Construction for Counting Bloom Filters
A counting Bloom filter (CBF) generalizes a Bloom filter data structure so as to allow membership queries on a set that can be changing dynamically via insertions and deletions. As...
Flavio Bonomi, Michael Mitzenmacher, Rina Panigrah...
GROUP
2005
ACM
14 years 1 months ago
Uncovering privacy attitudes and practices in instant messaging
We present an analysis of privacy attitudes and practices in Instant Messaging based on responses to an online questionnaire. On a 7point Likert scale, the reported concern about ...
Sameer Patil, Alfred Kobsa
SIGIR
2004
ACM
14 years 28 days ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
SAC
2008
ACM
13 years 7 months ago
Exploring social annotations for web document classification
Social annotation via so-called collaborative tagging describes the process by which many users add metadata in the form of unstructured keywords to shared content. In this paper,...
Michael G. Noll, Christoph Meinel