Gediminas Adomavicius

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1 Incorporating 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
2 Personalization technologies: a process-oriented perspective. Gediminas Adomavicius, Alexander Tuzhilin. Commun. ACM (48): 83-90 (2005). Web SearchBibTeXDownload
3 Understanding evolution in technology ecosystems. Gediminas Adomavicius, Jesse Bockstedt, Alok Gupta, Robert J. Kauffman. Commun. ACM (51): 117-122 (2008). Web SearchBibTeXDownload
4 Expert-Driven Validation of Rule-Based User Models in Personalization Applications. Gediminas Adomavicius, Alexander Tuzhilin. Data Min. Knowl. Discov. (5): 33-58 (2001). Web SearchBibTeXDownload
5 Understanding Patterns of Technology Evolution: An Ecosystem Perspective. Gediminas Adomavicius, Jesse Bockstedt, Alok Gupta, Robert J. Kauffman. HICSS 2006. Web SearchBibTeXDownload
6 Design and Effects of Information Feedback in Continuous Combinatorial Auctions. Gediminas Adomavicius, Pallab Sanyal, Alok Gupta, Shawn Curley. ICIS 2007, 107. Web SearchBibTeXDownload
7 Design and Evaluation of Feedback Schemes for Multiattribute Procurement Auctions. Gediminas Adomavicius, Alok Gupta, Pallab Sanyal. ICIS 2008, 32. Web SearchBibTeXDownload
8 Using Data Mining Methods to Build Customer Profiles. Gediminas Adomavicius, Alexander Tuzhilin. IEEE Computer (34): 74-82 (2001). Web SearchBibTeXDownload
9 New Recommendation Techniques for Multicriteria Rating Systems. Gediminas Adomavicius, YoungOk Kwon. IEEE Intelligent Systems (22): 48-55 (2007). Web SearchBibTeXDownload
10 Toward 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
11 C-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
12 REQUEST: A Query Language for Customizing Recommendations. Gediminas Adomavicius, Alexander Tuzhilin, Rong Zheng. Information Systems Research (22): 99-117 (2011). Web SearchBibTeXDownload
13 Designing Intelligent Software Agents for Auctions with Limited Information Feedback. Gediminas Adomavicius, Alok Gupta, Dmitry Zhdanov. Information Systems Research (20): 507-526 (2009). Web SearchBibTeXDownload
14 Toward Comprehensive Real-Time Bidder Support in Iterative Combinatorial Auctions. Gediminas Adomavicius, Alok Gupta. Information Systems Research (16): 169-185 (2005). Web SearchBibTeXDownload
15 Validation Sequence Optimization: A Theoretical Approach. Gediminas Adomavicius, Alexander Tuzhilin. INFORMS Journal on Computing (19): 185-200 (2007). Web SearchBibTeXDownload
16 An 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
17 Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. Gediminas Adomavicius, Alexander Tuzhilin. KDD 1997, 111-114. Web SearchBibTeX
18 User Profiling in Personalization Applications Through Rule Discovery and Validation. Gediminas Adomavicius, Alexander Tuzhilin. KDD 1999, 377-381. Web SearchBibTeXDownload
19 Handling very large numbers of association rules in the analysis of microarray data. Alexander Tuzhilin, Gediminas Adomavicius. KDD 2002, 396-404. Web SearchBibTeXDownload
20 Making 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
21 Multi-Criteria Recommender Systems. Gediminas Adomavicius, Nikos Manouselis, YoungOk Kwon. Recommender Systems Handbook 2011, 769-803. Web SearchBibTeXDownload
22 Context-Aware Recommender Systems. Gediminas Adomavicius, Bamshad Mobasher, Francesco Ricci. Recommender Systems Handbook 2011, 217-253. Web SearchBibTeXDownload
23 RecSys'09 workshop 3: workshop on context-aware recommender systems (CARS-2009). Gediminas Adomavicius, Francesco Ricci. RecSys 2009, 423-424. Web SearchBibTeXDownload
24 Context-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
25 On the stability of recommendation algorithms. Gediminas Adomavicius, Jingjing Zhang. RecSys 2010, 47-54. Web SearchBibTeXDownload
26 Context-aware recommender systems. Gediminas Adomavicius, Alexander Tuzhilin. RecSys 2008, 335-336. Web SearchBibTeXDownload
27 3rd workshop on context-aware recommender systems (CARS 2011). Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin. RecSys 2011, 379-380. Web SearchBibTeXDownload
28 Multidimensional Recommender Systems: A Data Warehousing Approach. Gediminas Adomavicius, Alexander Tuzhilin. WELCOM 2001, 180-192. Web SearchBibTeXDownload
29 Personalization technologies: A process-oriented perspective. Gediminas Adomavicius, Alexander Tuzhilin. Wirtschaftsinformatik (48): 449-450 (2006). Web SearchBibTeXDownload
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