Alexander Tuzhilin

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Soavtorji

Gediminas AdomaviciusProfessor of Information and Decision Sciences, University of MinnesotaPreverjeni e-poštni naslov na umn.edu
Balaji PadmanabhanDirector, Center for Artificial Intelligence in BusinessPreverjeni e-poštni naslov na umd.edu
Pan LiAssistant Professor, Scheller College of Business, Georgia Institute of TechnologyPreverjeni e-poštni naslov na gatech.edu
Konstantin BaumanAssistant Professor, Fox School of Business, Temple UniversityPreverjeni e-poštni naslov na temple.edu
Panagiotis (Panos) AdamopoulosGoizueta Business School, Emory UniversityPreverjeni e-poštni naslov na stern.nyu.edu
A SilberschatzProfessor of Computer Science at Yale UniversityPreverjeni e-poštni naslov na yale.edu
Dr. Hui Xiong, Fellow of AAAS, AAAI a...Rutgers University/Baidu/HKUSTPreverjeni e-poštni naslov na ust.hk
Bing LiuDistinguished Professor, University of Illinois at ChicagoPreverjeni e-poštni naslov na uic.edu
Yong GeAssociate Professor of MIS at University of ArizonaPreverjeni e-poštni naslov na email.arizona.edu
Bamshad MobasherSchool of Computing, DePaul UniversityPreverjeni e-poštni naslov na cs.depaul.edu
Akhmed UmyarovUniversity of Minnesota. Carlson School of Management.Preverjeni e-poštni naslov na umn.edu
Dietmar JannachUniversity of Klagenfurt, Austria; University of Bergen, NorwayPreverjeni e-poštni naslov na aau.at
Markus ZankerFree University of Bolzano-Bozen, Italy; University of Klagenfurt, AustriaPreverjeni e-poštni naslov na unibz.it
Rong ZhengAssociate Professor of Information System, HKUSTPreverjeni e-poštni naslov na ust.hk
Paul ResnickUniversity of MichiganPreverjeni e-poštni naslov na umich.edu
Michael J. PazzaniDistinguished Principal ScientistPreverjeni e-poštni naslov na isi.edu
Ke WangProfessor of Computing Science, Simon Fraser UniversityPreverjeni e-poštni naslov na cs.sfu.ca
Ada Wai-Chee FuChinese University of Hong KongPreverjeni e-poštni naslov na cse.cuhk.edu.hk
Ramesh ShankarAssociate Professor of Information Systems, University of ConnecticutPreverjeni e-poštni naslov na business.uconn.edu

Spremljaj

Alexander Tuzhilin

Professor of Information Systems, NYU

Preverjeni e-poštni naslov na stern.nyu.edu

data mining machine learning personalization recommender systems information systems


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions G Adomavicius, A Tuzhilin IEEE transactions on knowledge and data engineering 17 (6), 734-749, 2005	15215	2005
Context-aware recommender systems G Adomavicius, A Tuzhilin Recommender systems handbook, 217-253, 2010	3352	2010
Incorporating contextual information in recommender systems using a multidimensional approach G Adomavicius, R Sankaranarayanan, S Sen, A Tuzhilin ACM Transactions on Information systems (TOIS) 23 (1), 103-145, 2005	1764	2005
System and method for dynamic profiling of users in one-to-one applications AS Tuzhilin US Patent 6,236,978, 2001	1231	2001
What makes patterns interesting in knowledge discovery systems A Silberschatz, A Tuzhilin IEEE Transactions on Knowledge and data engineering 8 (6), 970-974, 1996	1088	1996
System and method for dynamic profiling of users in one-to-one applications and for validating user rules AS Tuzhilin, G Adomavicius US Patent 7,603,331, 2009	818*	2009
The long tail of recommender systems and how to leverage it YJ Park, A Tuzhilin Proceedings of the 2008 ACM conference on Recommender systems, 11-18, 2008	635	2008
On subjective measures of interestingness in knowledge discovery. A Silberschatz, A Tuzhilin KDD 95, 275-281, 1995	611	1995
Personalization technologies: a process-oriented perspective G Adomavicius, A Tuzhilin Communications of the ACM 48 (10), 83-90, 2005	608	2005
Using data mining methods to build customer profiles G Adomavicius, A Tuzhilin Computer 34 (2), 74-82, 2001	448	2001
An energy-efficient mobile recommender system Y Ge, H Xiong, A Tuzhilin, K Xiao, M Gruteser, M Pazzani Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	437	2010
On unexpectedness in recommender systems: Or how to except the unexpected P Adamopoulos, A Tuzhilin RecSys Workshop on Novelty and Diversity in Recommender Systems, 2011	395*	2011
A Belief-Driven Method for Discovering Unexpected Patterns. B Padmanabhan, A Tuzhilin KDD 98, 94-100, 1998	393	1998
Using context to improve predictive modeling of customers in personalization applications C Palmisano, A Tuzhilin, M Gorgoglione IEEE transactions on knowledge and data engineering 20 (11), 1535-1549, 2008	317	2008
Ddtcdr: Deep dual transfer cross domain recommendation P Li, A Tuzhilin Proceedings of the 13th international conference on web search and data …, 2020	301	2020
Experimental comparison of pre-vs. post-filtering approaches in context-aware recommender systems U Panniello, A Tuzhilin, M Gorgoglione, C Palmisano, A Pedone Proceedings of the third ACM conference on Recommender systems, 265-268, 2009	296	2009
Unexpectedness as a measure of interestingness in knowledge discovery B Padmanabhan, A Tuzhilin Decision Support Systems 27 (3), 303-318, 1999	293	1999
Expert-driven validation of rule-based user models in personalization applications G Adomavicius, A Tuzhilin Data Mining and Knowledge Discovery 5, 33-58, 2001	282	2001
Aspect based recommendations: Recommending items with the most valuable aspects based on user reviews K Bauman, B Liu, A Tuzhilin Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017	247	2017
User profiling in personalization applications through rule discovery and validation G Adomavicius, A Tuzhilin Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	228	1999

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