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WWW
2007
ACM
14 years 8 months ago
Modeling user behavior in recommender systems based on maximum entropy
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
RECSYS
2009
ACM
14 years 2 months ago
Getting recommender systems to think outside the box
We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outsid...
Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Laksh...
ADMA
2008
Springer
122views Data Mining» more  ADMA 2008»
14 years 1 months ago
Open Domain Recommendation: Social Networks and Collaborative Filtering
Commercial enterprises employ data mining techniques to recommend products to their customers. Most of the prior research is usually focused on a specific domain such as movies or...
Sarah K. Tyler, Yi Zhang
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
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
14 years 1 months ago
Collaborative Tag Recommendations
Abstract. With the increasing popularity of collaborative tagging systems, services that assist the user in the task of tagging, such as tag recommenders, are more and more require...
Leandro Balby Marinho, Lars Schmidt-Thieme