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» Introduction to recommender systems
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GRC
2007
IEEE
15 years 5 months ago
Privacy Preserving Collaborative Filtering Using Data Obfuscation
Collaborative filtering (CF) systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. Th...
Rupa Parameswaran, Douglas M. Blough
CTW
2006
88views more  CTW 2006»
15 years 5 months ago
Using multiple cognitive task analysis methods for supervisory control interface design in high-throughput biological screening
Cognitive task analysis (CTA) approaches are currently needed in many domains to provide explicit guidance on redesigning existing systems. This study used goal-directed task analy...
David B. Kaber, Noa Segall, Rebecca S. Green, K. E...
SIGIR
2008
ACM
15 years 5 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang
SPIRE
2010
Springer
15 years 3 months ago
Fingerprinting Ratings for Collaborative Filtering - Theoretical and Empirical Analysis
Abstract. We consider fingerprinting methods for collaborative filtering (CF) systems. In general, CF systems show their real strength when supplied with enormous data sets. Earl...
Yoram Bachrach, Ralf Herbrich
UMUAI
2008
144views more  UMUAI 2008»
15 years 5 months ago
Tag-based user modeling for social multi-device adaptive guides
This paper aims to demonstrate that the principles of adaptation and user modeling, especially social annotation, can be integrated fruitfully with those of the Web 2.0 paradigm a...
Francesca Carmagnola, Federica Cena, Luca Console,...