If you made any changes in Pure, your changes will be visible here soon.

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.

  • 2 Similar Profiles
Recommender systems Engineering & Materials Science
Data mining Engineering & Materials Science
Feedback Engineering & Materials Science
auction Social Sciences
Learning systems Engineering & Materials Science
Collaborative filtering Engineering & Materials Science
Economics Engineering & Materials Science
Experiments Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2006 2019

Combinatorial auctions
Competitive environment
Clinical Decision Support Systems

Research Output 2000 2019

Data structures
Combinatorial auctions

Efficient computational strategies for dynamic inventory liquidation

Yang, M., Adomavicius, G. & Gupta, A., Jan 1 2019, In : Information Systems Research. 30, 2, p. 595-615 21 p.

Research output: Contribution to journalArticle

Dynamic programming

From preference into decision making: Modeling user interactions in recommender systems

Zhao, Q., Willemsen, M. C., Adomavicius, G., Maxwell Harper, F. & Konstan, J. A., Sep 10 2019, RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 29-33 5 p. (RecSys 2019 - 13th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Recommender systems
Decision making
Recurrent neural networks
Learning systems

The hidden side effects of recommendation systems

Adomavicius, G., Bockstedt, J., Curley, S. P., Zhang, J. & Ransbotham, S., Dec 2019, In : MIT Sloan Management Review. 60, 2, p. 13-15 3 p.

Research output: Contribution to journalArticle

Recommender systems
Recommendation system
Side effects