Gediminas Adomavičius

Author

University of Minnesota ORCID

Also Known As

Adomavicius, Gediminas, G. Adomavicius, GEDIMINAS ADOMAVICIUS, Gediminas Adomavicius, Gediminas Adomavičius, Said, Alan

182

Publications

21.2K

Citations

H-Index

158

Concepts

All Affiliations

University of Minnesota Decision Sciences (United States)New York University University of Minnesota System Twin Cities Orthopedics

About

Gediminas Adomavičius is an author at University of Minnesota specializing in data science, engineering, and data mining.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	32	41	16.6K
2	Business	19	22	1.2K
3	Arts	10	10	3.2K
4	Education	1	1	34
5	Language Studies	1	1	10.1K

Gediminas Adomavičius

Publications

19.1K

Citations

H-Index

Page 1

	Year	Citations
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions Gediminas Adomavičius, Alexander Tuzhilin IEEE Transactions on Knowledge and Data Engineering EngineeringRecommendation CapabilitiesText MiningComputational Social ScienceInformation Retrieval	2005	10.1K
Context‐Aware Recommender Systems Gediminas Adomavičius, Bamshad Mobasher, Francesco Ricci⋆, AI Magazine Recommendation ProcessEngineeringInformation RetrievalData ScienceContext‐aware Recommender Systems	2011	1.4K
Incorporating contextual information in recommender systems using a multidimensional approach Gediminas Adomavičius, Ramesh Sankaranarayanan, Shahana Sen, ACM Transactions on Information Systems EngineeringMultidimensional ApproachInformation RetrievalData ScienceRecommendation Systems	2005	1.2K
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques Gediminas Adomavičius, YoungOk Kwon IEEE Transactions on Knowledge and Data Engineering Ranking AlgorithmEngineeringMachine LearningLearning To RankRecommendation Accuracy	2011	678
New Recommendation Techniques for Multicriteria Rating Systems Gediminas Adomavičius, YoungOk Kwon IEEE Intelligent Systems Group RecommendersEngineeringInformation RetrievalData ScienceData Mining	2007	495
Personalization technologies Gediminas Adomavičius, Alexander Tuzhilin Communications of the ACM Customer ExperienceCustomer SatisfactionVirtuous CycleCustomer ReactionsEngineering	2005	338
Multistakeholder recommendation: Survey and research directions Himan Abdollahpouri, Gediminas Adomavičius, Robin Burke, User Modeling and User-Adapted Interaction Group RecommendersData ScienceInteractive MarketingPredictive AnalyticsKnowledge Discovery	2020	287
Understanding User-Generated Content and Customer Engagement on Facebook Business Pages Mochen Yang, Yuqing Ren, Gediminas Adomavičius Information Systems Research Facebook Business PagesCustomer SatisfactionNegative PostsSocial MediaBusiness-to-business Research	2019	235
Using data mining methods to build customer profiles Gediminas Adomavičius, Alexander Tuzhilin Computer Customer SatisfactionEngineeringBusiness IntelligenceCustomer ProfilingPattern Mining	2001	230
Context-aware recommender systems Gediminas Adomavičius, Alexander Tuzhilin EngineeringCommunicationText MiningInformation RetrievalData Science	2008	214

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