Alexander Tuzhilin
Alexander Tuzhilin
Professor of Information Systems, NYU
Verified email at stern.nyu.edu
TitleCited byYear
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 & Data Engineering, 734-749, 2005
108922005
Context-aware recommender systems
G Adomavicius, A Tuzhilin
Recommender systems handbook, 217-253, 2011
21772011
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
13972005
System and method for dynamic profiling of users in one-to-one applications
AS Tuzhilin
US Patent 6,236,978, 2001
9652001
What makes patterns interesting in knowledge discovery systems
A Silberschatz, A Tuzhilin
IEEE Transactions on Knowledge and data engineering 8 (6), 970-974, 1996
9631996
10 challenging problems in data mining research
Q Yang, X Wu
International Journal of Information Technology & Decision Making 5 (04 …, 2006
7042006
Architectures, systems, apparatus, methods, and computer-readable medium for providing recommendations to users and applications using multidimensional data
A Tuzhilin, G Adomavicius
US Patent 8,103,611, 2012
565*2012
On subjective measures of interestingness in knowledge discovery.
A Silberschatz, A Tuzhilin
KDD 95, 275-281, 1995
5411995
Personalization technologies: a process-oriented perspective
G Adomavicius, A Tuzhilin
Communications of the ACM 48 (10), 83-90, 2005
4302005
Using data mining methods to build customer profiles
G Adomavicius, A Tuzhilin
Computer 34 (2), 74-82, 2001
3752001
A Belief-Driven Method for Discovering Unexpected Patterns.
B Padmanabhan, A Tuzhilin
KDD 98, 94-100, 1998
3641998
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
3122010
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
3062008
Unexpectedness as a measure of interestingness in knowledge discovery
B Padmanabhan, A Tuzhilin
Decision Support Systems 27 (3), 303-318, 1999
2631999
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
2462008
Expert-driven validation of rule-based user models in personalization applications
G Adomavicius, A Tuzhilin
Data Mining and Knowledge Discovery 5 (1-2), 33-58, 2001
2382001
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
2182009
On unexpectedness in recommender systems: Or how to better expect the unexpected
P Adamopoulos, A Tuzhilin
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (4), 54, 2015
1942015
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
1941999
Small is beautiful: discovering the minimal set of unexpected patterns
B Padmanabhan, A Tuzhilin
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
1882000
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