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» Learning recommender systems with adaptive regularization
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WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
8 years 5 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
VLDB
2004
ACM
155views Database» more  VLDB 2004»
10 years 3 months ago
AWESOME - A Data Warehouse-based System for Adaptive Website Recommendations
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many f...
Andreas Thor, Erhard Rahm
CORR
2016
Springer
72views Education» more  CORR 2016»
4 years 6 months ago
Latent Skill Embedding for Personalized Lesson Sequence Recommendation
Students in online courses generate large amounts of data that can be used to personalize the learning process and improve quality of education. In this paper, we present the Late...
Siddharth Reddy, Igor Labutov, Thorsten Joachims
IDEAL
2004
Springer
10 years 3 months ago
Learning Users' Interests in a Market-Based Recommender System
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
LWA
2007
9 years 11 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
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