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» Feature-Weighted User Model for Recommender Systems
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UMUAI
2008
111views more  UMUAI 2008»
13 years 5 months ago
Mediation of user models for enhanced personalization in recommender systems
Abstract. Provision of personalized recommendations to users requires accurate modeling of their interests and needs. This paper proposes a general framework and specific methodolo...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
SIGIR
2011
ACM
12 years 8 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
WWW
2007
ACM
14 years 6 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
LWA
2007
13 years 6 months ago
Towards Learning User-Adaptive State Models in a Conversational Recommender System
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
Tariq Mahmood, Francesco Ricci
ICTAI
2008
IEEE
13 years 12 months ago
A Lattice-Based Model for Recommender Systems
A major challenge in building recommender systems is organizing the recommendation space since, the underlying data organization scheme has a significant impact on the overall pe...
Shriram Narayanaswamy, Raj Bhatnagar