Yong Zheng

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Robin BurkeUniversity of Colorado, BoulderVerified email at colorado.edu
Bamshad MobasherSchool of Computing, DePaul UniversityVerified email at cs.depaul.edu
Nikki HaririDePaul UniversityVerified email at cs.depaul.edu
DIEGO SÁNCHEZ MORENOUniversidad de SalamancaVerified email at usal.es
MARÍA N. MORENO GARCÍA (https://o...Data Mining Research Group - Universidad de SalamancaVerified email at usal.es
Milad SabouriDePaul UniversityVerified email at depaul.edu
Shaghayegh SahebiAssistant Professor, University at Albany, SUNYVerified email at albany.edu
Weike PanAssociate Professor, Shenzhen UniversityVerified email at szu.edu.cn
Sudeshna SarkarIIT Kharagpur, Department of Computer Science & EngineeringVerified email at cse.iitkgp.ac.in
Markus ZankerFree University of Bolzano-Bozen, Italy; University of Klagenfurt, AustriaVerified email at unibz.it
Li ChenAssociate Professor, Hong Kong Baptist UniversityVerified email at comp.hkbu.edu.hk
Panagiotis SymeonidisAssociate Professor, Dept. of Information and Communication Systems Eng., University of the AegeanVerified email at aegean.gr
Cataldo MustoDepartment of Computer Science, Università degli Studi di Bari "Aldo Moro"Verified email at di.uniba.it
Giovanni SemeraroComputer Science, head of the SWAP 'Antonio Bello' research group, University of Bari Aldo MoroVerified email at uniba.it
Alexander FelfernigProfessor of Computer Science, Graz University of Technology, AustriaVerified email at ist.tugraz.at
Toine BogersAssociate professor, Aalborg University CopenhagenVerified email at hum.aau.dk
Ignacio Fernández-TobíasUniversidad Autónoma de MadridVerified email at uam.es
Kasper S. PedersenFull Professor of Inorganic Chemistry, Department of Chemistry, Technical University of DenmarkVerified email at kemi.dtu.dk
David (Xuejun) WangPrincipal Data Scientist, Morningstar, IncVerified email at morningstar.com

Yong Zheng

Assistant Professor, Illinois Institute of Technology, Chicago, USA

Verified email at iit.edu - Homepage

Recommender Systems User Modeling Context-Aware Recommender Systems Multi-Objective Human Centric Computing


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CARSKit: A Java-Based Context-aware Recommendation Engine Y Zheng, B Mobasher, R Burke Proceedings of the 15th IEEE International Conference on Data Mining (ICDM …, 2015	115	2015
CSLIM: Contextual SLIM Recommendation Algorithms Y Zheng, B Mobasher, R Burke Proceedings of the 8th ACM Conference on Recommender Systems (ACM RecSys …, 2014	114	2014
The Role of Emotions in Context-aware Recommendation Y Zheng, R Burke, B Mobasher Proceedings of the 3rd International Workshop on Human Decision Making in …, 2013	112	2013
Context-Aware Recommendation Based On Review Mining N Hariri, Y Zheng, B Mobasher, R Burke Proceedings of School of Computing Research Symposium (SOCRS 2011), DePaul …, 2011	102	2011
Differential Context Relaxation for Context-Aware Travel Recommendation Y Zheng, R Burke, B Mobasher The 13th International Conference on Electronic Commerce and Web …, 2012	94	2012
Recommendation with Differential Context Weighting Y Zheng, R Burke, B Mobasher The 21st Conference on User Modeling, Adaptation and Personalization (UMAP …, 2013	89	2013
Splitting approaches for context-aware recommendation: An empirical study Y Zheng, R Burke, B Mobasher Proceedings of the 29th Annual ACM Symposium on Applied Computing (SAC 2014 …, 2014	83	2014
Context Recommendation Using Multi-label Classification Y Zheng, B Mobasher, R Burke Proceedings of the 13th IEEE/WIC/ACM Conference on Web Intelligence (IEEE …, 2014	69	2014
Optimal Feature Selection for Context-Aware Recommendation using Differential Relaxation Y Zheng, R Burke, B Mobasher Proceedings of the 4th Workshop on Context-Aware Recommender Systems, 2012	58	2012
Similarity-Based Context-aware Recommendation Y Zheng, B Mobasher, R Burke Proceedings of the 16th International Conference on Web Information Systems …, 2015	57	2015
Criteria Chains: A Novel Multi-Criteria Recommendation Approach Y Zheng The 22nd ACM Conference on Intelligent User Interfaces (ACM IUI), Limassol …, 2017	49	2017
Emotions in Context-aware Recommender Systems Y Zheng, B Mobasher, R Burke Emotions and Personality in Personalized Services, 2016	37	2016
Utility-Based Multi-Criteria Recommender Systems Y Zheng Proceedings of the 34th ACM SIGAPP Symposium on Applied Computing (ACM SAC …, 2019	36	2019
Integrating Context Similarity with Sparse Linear Recommendation Model Y Zheng, B Mobasher, R Burke The 23rd Conference on User Modeling, Adaptation and Personalization (UMAP …, 2015	34	2015
A revisit to the identification of contexts in recommender systems Y Zheng Proceedings of the 20th International Conference on Intelligent User …, 2015	33	2015
Fairness In Reciprocal Recommendations: A Speed‐Dating Study Y Zheng, T Dave, N Mishra, H Kumar Proceedings of the FairUMAP workshop at ACM Conference on User Modeling …, 2018	32	2018
Deviation-Based Contextual SLIM Recommenders Y Zheng, B Mobasher, R Burke Proceedings of the 23rd ACM Conference on Information and Knowledge …, 2014	31	2014
Personalized Educational Learning with Multi-Stakeholder Optimizations Y Zheng, N Ghane, M Sabouri Adjunct Proceedings of the ACM Conference on User Modeling, Adaptation and …, 2019	27	2019
Incorporating Context Correlation Into Context-aware Matrix Factorization Y Zheng, B Mobasher, R Burke Proceedings of the 1st International Workshop on Intelligent Personalization …, 2015	25	2015
Utility-Based Multi-Stakeholder Recommendations By Multi-Objective Optimization Y Zheng, A Pu Proceedings of the 17th IEEE/WIC/ACM International Conference on Web …, 2018	23	2018

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