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INTETAIN
2005
Springer
15 years 5 months ago
Entertainment Personalization Mechanism Through Cross-Domain User Modeling
The growth of available entertainment information services, such as movies and CD listings, or travels and recreational activities, raises a need for personalization techniques for...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
ECRA
2007
139views more  ECRA 2007»
14 years 11 months ago
Common structure and properties of filtering systems
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems choose one or more candidates from a set of candidates through a filtering pro...
Junichi Iijima, Sho Ho
ATAL
2007
Springer
15 years 6 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
ICML
1998
IEEE
16 years 18 days ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
CHI
2004
ACM
16 years 4 days ago
Think different: increasing online community participation using uniqueness and group dissimilarity
Online communities can help people form productive relationships. Unfortunately, this potential is not always fulfilled: many communities fail, and designers don't have a sol...
Pamela J. Ludford, Dan Cosley, Dan Frankowski, Lor...