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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
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

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Projects 2006 2019

Combinatorial auctions
Acceptability
Competitive environment
Clinical Decision Support Systems

Research Output 2000 2019

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

liquidation
Dynamic programming
heuristics
revenue
Experiments

The hidden side effects of recommendation systems

Adomavicius, G., Bockstedt, J., Curley, S. P., Zhang, J. & Ransbotham, S., Dec 1 2019, In : MIT Sloan Management Review. 60, 2, p. 13-15 3 p.

Research output: Contribution to journalArticle

Recommender systems
Recommendation system
Side effects
8 Citations (Scopus)

Effects of online recommendations on consumers' willingness to pay

Adomavicius, G., Bockstedt, J. C., Curley, S. P. & Zhang, J., Mar 1 2018, In : Information Systems Research. 29, 1, p. 84-102 19 p.

Research output: Contribution to journalArticle

Recommender systems
willingness to pay
song
Purchasing
Sampling

Explicit or implicit feedback? engagement or satisfaction? A field experiment on machine-learning-based recommender systems

Zhao, Q., Harper, M., Adomavicius, G. & Konstan, J. A., Apr 9 2018, Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018. Association for Computing Machinery, p. 1331-1340 10 p.

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

Recommender systems
Learning systems
Feedback
Factorization
Experiments
1 Citation (Scopus)

Interpreting user inaction in recommender systems

Zhao, Q., Willemsen, M. C., Adomavicius, G., Maxwell Harper, F. & Konstan, J. A., Sep 27 2018, RecSys 2018 - 12th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 40-48 9 p. (RecSys 2018 - 12th ACM Conference on Recommender Systems).

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

Recommender systems
Decision making