Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

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Recommender systems Engineering & Materials Science
Feedback Engineering & Materials Science
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Experiments Engineering & Materials Science
Industry Engineering & Materials Science
Economics Engineering & Materials Science
auction Social Sciences
Learning systems Engineering & Materials Science

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Projects 2006 2018

Research Output 2000 2017

Coalition-based pricing in ascending combinatorial auctions

Bichler, M., Hao, Z. & Adomavicius, G. Mar 1 2017 In : Information Systems Research. 28, 1, p. 159-179 21 p.

Research output: Research - peer-reviewArticle

Combinatorial auctions
Computer simulation

Methods for real-time prediction of the mode of travel using smartphone-based GPS and accelerometer data

Martin, B. D., Addona, V., Wolfson, J., Adomavicius, G. & Fan, Y. Sep 8 2017 In : Sensors (Switzerland). 17, 9, 2058

Research output: Research - peer-reviewArticle

Service discovery
search engine
1 Citations

Toward better interactions in recommender systems: Cycling and serpentining approaches for top-N item lists

Zhao, Q., Adomavicius, G., Harper, F. M., Willemsen, M. & Konstan, J. A. 2017 [CSCW2017]Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. p. 1444-1453 10 p. ([CSCW2017]Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing)

Research output: ResearchChapter

Recommender systems

VAMS 2017: Workshop on value-aware and multistakeholder recommendation

Burke, R., Adomavicius, G., Guy, I., Krasnodebski, J., Pizzato, L., Zhang, Y. & Abdollahpouri, H. Aug 27 2017 RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 378-379 2 p.

Research output: ResearchConference contribution

Recommender systems