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ICMCS
2009
IEEE
185views Multimedia» more  ICMCS 2009»
14 years 10 months ago
Connecting content to community in social media via image content, user tags and user communication
In this paper we develop a recommendation framework to connect image content with communities in online social media. The problem is important because users are looking for useful...
Munmun De Choudhury, Hari Sundaram, Yu-Ru Lin, Aji...
129
Voted
GROUP
2010
ACM
14 years 10 months ago
Towards a group recommender process model for ad-hoc groups and on-demand recommendations
Movie recommender systems simplify the movie selection by providing movie suggestions based on the respective user's personal taste. Most of the current systems address indiv...
Christoph Beckmann, Tom Gross
TKDE
2012
236views Formal Methods» more  TKDE 2012»
13 years 3 months ago
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Gediminas Adomavicius, YoungOk Kwon
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
15 years 4 months ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...
SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
13 years 3 months ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...