YoungOk Kwon

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Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques

Gediminas Adomavicius, YoungOk Kwon, YoungOk Kwon, 2012, IEEE Transactions on Knowledge and Data Engineering.

Towards more confident recommendations: Improving recommender systems using filtering approach based on rating variance

Gediminas Adomavicius, YoungOk Kwon, Sreeharsha Kamireddy, 2007 .

Optimization-Based Approaches for Maximizing Aggregate Recommendation Diversity

Gediminas Adomavicius, YoungOk Kwon, YoungOk Kwon, 2014, INFORMS J. Comput..

Multi-Criteria Recommender Systems

Gediminas Adomavicius, YoungOk Kwon, N. Manouselis, 2011, Recommender Systems Handbook.

New Designs for Multi-Criteria Ratings

YoungOk Kwon, 2013 .

New Approaches For More Accurate and Diverse Recommendations

YoungOk Kwon, 2012 .

Improving top-n recommendation techniques using rating variance

YoungOk Kwon, YoungOk Kwon, 2008, RecSys '08.

Accuracy and Diversity Improvements for Multi-Criteria Recommender Systems

YoungOk Kwon, 2013 .

Influence Maximization Based on Minimum Redundancy Feature Selection in Pocket Switched Networks

Dongwon Lee, Sung-Bong Yang, Byung Cho Kim, 2016 .

Computational techniques for more accurate and diverse recommendations.

YoungOk Kwon, Young-Si Kwon, 2011 .

Improving Neighborhood-based CF Systems : Towards More Accurate and Diverse Recommendations

YoungOk Kwon, 2012 .

New Recommendation Techniques for Multicriteria Rating Systems

Gediminas Adomavicius, YoungOk Kwon, Gediminas Adomavicius, 2007, IEEE Intelligent Systems.

Multi-Criteria Recommender Systems

Gediminas Adomavicius, Nikos Manouselis, YoungOk Kwon, 2011, Recommender Systems Handbook.

Understanding the paradigm shift to computational social science in the presence of big data

Robert J. Kauffman, YoungOk Kwon, Ray M. Chang, 2014, Decis. Support Syst..

Improving Neighborhood-based CF Systems

YoungOk Kwon, 2012 .

Working Paper: Improving Recommendation Diversity Using Ranking-based Techniques Improving Recommendation Diversity Using Ranking-based Techniques

Gediminas Adomavicius, YoungOk Kwon, YoungOk Kwon, 2022 .