Gediminas Adomavicius

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2011
29REQUEST: A Query Language for Customizing Recommendations. Gediminas Adomavicius, Alexander Tuzhilin, Rong Zheng. Information Systems Research (22): 99-117 (2011). Web SearchBibTeXDownload
28Multi-Criteria Recommender Systems. Gediminas Adomavicius, Nikos Manouselis, YoungOk Kwon. Recommender Systems Handbook 2011, 769-803. Web SearchBibTeXDownload
27Context-Aware Recommender Systems. Gediminas Adomavicius, Bamshad Mobasher, Francesco Ricci. Recommender Systems Handbook 2011, 217-253. Web SearchBibTeXDownload
263rd workshop on context-aware recommender systems (CARS 2011). Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin. RecSys 2011, 379-380. Web SearchBibTeXDownload
2010
25Context-awareness in recommender systems: research workshop and movie recommendation challenge. Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto William De Luca, Alan Said. RecSys 2010, 385-386. Web SearchBibTeXDownload
24On the stability of recommendation algorithms. Gediminas Adomavicius, Jingjing Zhang. RecSys 2010, 47-54. Web SearchBibTeXDownload
2009
23Designing Intelligent Software Agents for Auctions with Limited Information Feedback. Gediminas Adomavicius, Alok Gupta, Dmitry Zhdanov. Information Systems Research (20): 507-526 (2009). Web SearchBibTeXDownload
22RecSys'09 workshop 3: workshop on context-aware recommender systems (CARS-2009). Gediminas Adomavicius, Francesco Ricci. RecSys 2009, 423-424. Web SearchBibTeXDownload
2008
21Understanding evolution in technology ecosystems. Gediminas Adomavicius, Jesse Bockstedt, Alok Gupta, Robert J. Kauffman. Commun. ACM (51): 117-122 (2008). Web SearchBibTeXDownload
20Design and Evaluation of Feedback Schemes for Multiattribute Procurement Auctions. Gediminas Adomavicius, Alok Gupta, Pallab Sanyal. ICIS 2008, 32. Web SearchBibTeXDownload
19C-TREND: Temporal Cluster Graphs for Identifying and Visualizing Trends in Multiattribute Transactional Data. Gediminas Adomavicius, Jesse Bockstedt. IEEE Trans. Knowl. Data Eng. (20): 721-735 (2008). Web SearchBibTeXDownload
18Making Sense of Technology Trends in the Information Technology Landscape: A Design Science Approach. Gediminas Adomavicius, Jesse Bockstedt, Alok Gupta, Robert J. Kauffman. MIS Quarterly (32): 779-809 (2008). Web SearchBibTeXDownload
17Context-aware recommender systems. Gediminas Adomavicius, Alexander Tuzhilin. RecSys 2008, 335-336. Web SearchBibTeXDownload
2007
16Design and Effects of Information Feedback in Continuous Combinatorial Auctions. Gediminas Adomavicius, Pallab Sanyal, Alok Gupta, Shawn Curley. ICIS 2007, 107. Web SearchBibTeXDownload
15New Recommendation Techniques for Multicriteria Rating Systems. Gediminas Adomavicius, YoungOk Kwon. IEEE Intelligent Systems (22): 48-55 (2007). Web SearchBibTeXDownload
14Validation Sequence Optimization: A Theoretical Approach. Gediminas Adomavicius, Alexander Tuzhilin. INFORMS Journal on Computing (19): 185-200 (2007). Web SearchBibTeXDownload
2006
13Understanding Patterns of Technology Evolution: An Ecosystem Perspective. Gediminas Adomavicius, Jesse Bockstedt, Alok Gupta, Robert J. Kauffman. HICSS 2006. Web SearchBibTeXDownload
12Personalization technologies: A process-oriented perspective. Gediminas Adomavicius, Alexander Tuzhilin. Wirtschaftsinformatik (48): 449-450 (2006). Web SearchBibTeXDownload
2005
11Incorporating contextual information in recommender systems using a multidimensional approach. Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, Alexander Tuzhilin. ACM Trans. Inf. Syst. (23): 103-145 (2005). Web SearchBibTeXDownload
10Personalization technologies: a process-oriented perspective. Gediminas Adomavicius, Alexander Tuzhilin. Commun. ACM (48): 83-90 (2005). Web SearchBibTeXDownload
9Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. Gediminas Adomavicius, Alexander Tuzhilin. IEEE Trans. Knowl. Data Eng. (17): 734-749 (2005). Web SearchBibTeXDownload
8Toward Comprehensive Real-Time Bidder Support in Iterative Combinatorial Auctions. Gediminas Adomavicius, Alok Gupta. Information Systems Research (16): 169-185 (2005). Web SearchBibTeXDownload
2002
7An Architecture of e-Butler: A Consumer-Centric Online Personalization System. Gediminas Adomavicius, Alexander Tuzhilin. International Journal of Computational Intelligence and Applications (2): 313-327 (2002). Web SearchBibTeXDownload
6Handling very large numbers of association rules in the analysis of microarray data. Alexander Tuzhilin, Gediminas Adomavicius. KDD 2002, 396-404. Web SearchBibTeXDownload
2001
5Expert-Driven Validation of Rule-Based User Models in Personalization Applications. Gediminas Adomavicius, Alexander Tuzhilin. Data Min. Knowl. Discov. (5): 33-58 (2001). Web SearchBibTeXDownload
4Using Data Mining Methods to Build Customer Profiles. Gediminas Adomavicius, Alexander Tuzhilin. IEEE Computer (34): 74-82 (2001). Web SearchBibTeXDownload
3Multidimensional Recommender Systems: A Data Warehousing Approach. Gediminas Adomavicius, Alexander Tuzhilin. WELCOM 2001, 180-192. Web SearchBibTeXDownload
1999
2User Profiling in Personalization Applications Through Rule Discovery and Validation. Gediminas Adomavicius, Alexander Tuzhilin. KDD 1999, 377-381. Web SearchBibTeXDownload
1997
1Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. Gediminas Adomavicius, Alexander Tuzhilin. KDD 1997, 111-114. Web SearchBibTeX
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