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ICMCS
2000
IEEE
145views Multimedia» more  ICMCS 2000»
8 years 11 months ago
Temperament-Based Information Filtering: A Human Factors Approach to Information Recommendation
This paper provides an intelligent multiagent approach to incorporate human temperaments into the filtering process of an information recommendation service. Our approach is to de...
Cha-Hwa Lin, Dennis McLeod
ATAL
2007
Springer
9 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
SIGIR
2002
ACM
8 years 7 months ago
Collaborative filtering with privacy via factor analysis
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
John F. Canny
RECSYS
2015
ACM
3 years 3 months ago
Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines
We propose an alternative way to efficiently exploit rating data for collaborative filtering with Factorization Machines (FMs). Our approach partitions user-item matrix into ‘...
Babak Loni, Martha Larson, Alexandros Karatzoglou,...
RECSYS
2010
ACM
8 years 7 months ago
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Alexandros Karatzoglou, Xavier Amatriain, Linas Ba...
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