Searching for authors named "Gediminas Adomavicius" – sorted by Relevance.
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Extending Recommender Systems: A Multidimensional Approach
- Extending Recommender Systems: A Multidimensional Approach Gediminas Adomavicius Computer Science
- Cited by 7 (0 self) – Add To MetaCart
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Recommendation Technologies: Survey of Current Methods and Possible Extensions", unpublished
- Adomavicius Alexander Tuzhilin Information & Decision Sciences Information, Operations & Management Sciences
- Cited by 1 (0 self) – Add To MetaCart
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Integrating user behavior and collaborative methods in recommender systems
- Alexander Tuzhilin Gediminas Adomavicius IS Department, Stern School of Business Computer Science Department
- Cited by 2 (2 self) – Add To MetaCart
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Personalization technologies: a process-oriented perspective
- Personalization Technologies: A Process-Oriented Perspective Gediminas Adomavicius Information
- Cited by 10 (0 self) – Add To MetaCart
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Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
- Adomavicius, Member, IEEE, and Alexander Tuzhilin, Member, IEEE Abstract—This paper presents an overview
- Cited by 126 (0 self) – Add To MetaCart
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Using Data Mining Methods to Build Customer Profiles
- RESEARCH FEATURE Gediminas Adomavicius Alexander Tuzhilin New York University 74 Computer Using
- Cited by 32 (1 self) – Add To MetaCart
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Expert-Driven Validation of Set-Based Data Mining Results
- Expert-Driven Validation of Set-Based Data Mining Results by Gediminas Adomavicius A
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Discovery of actionable patterns in databases: The action hierarchy approach
- Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach Gediminas Adomavicius
- Cited by 28 (7 self) – Add To MetaCart
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Incorporating Contextual Information in Recommender Systems Using a Multidimensional Approach
- Gediminas Adomavicius Department of Information & Decision Sciences Carlson School of Management University
- Cited by 30 (2 self) – Add To MetaCart
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Expert-Driven Validation of Rule-Based User Models in Personalization Applications
- Adomavicius Alexander Tuzhilin Computer Science Department IS Department, Stern School of Business New York
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