Projects per year
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.
Recommender systems
Engineering & Materials Science
Data mining
Engineering & Materials Science
Feedback
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Collaborative filtering
Engineering & Materials Science
Economics
Engineering & Materials Science
Ecosystems
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
Smartphone-Based Interventions for Sustainable Travel Be
Fan, Y., Adomavicius, G. & Wolfson, J.
10/1/16 → 9/30/19
Project: Research project
Smartphones
Measuring Travel Happiness in Shenzhen: Framework and Ap
Fan, Y., Adomavicius, G., Hood, D. & Wolfson, J.
SHENZHEN URBAN TRANSPORT PLN CTR CO, LTD
3/28/17 → 5/31/18
Project: Research project
SmartTrAC: A Smartphone Solution for Context-Aware Trave
Fan, Y., Adomavicius, G., Douma, F. P. & Wolfson, J.
US Department of Transportation
6/14/13 → 2/15/15
Project: Research project
Smartphones
Strategies, Performance, and Acceptability in the Dynami
Curley, S. P., Adomavicius, G. & Gupta, A.
9/15/10 → 8/31/14
Project: Research project
Combinatorial auctions
Acceptability
Competitive environment
Prioritized Clinical Decision Support to Reduce Cardiova
Johnson, P. E. & Adomavicius, G.
7/1/10 → 3/31/15
Project: Research project
Clinical Decision Support Systems
Research Output 2000 2019
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 journal › Article
Recommender systems
Recommendation system
Side effects
5
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 journal › Article
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 proceeding › Conference contribution
Recommender systems
Learning systems
Feedback
Factorization
Experiments
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 proceeding › Conference contribution
Recommender systems
Decision making
2
Citations
(Scopus)
Mind the gap: Accounting for measurement error and misclassification in variables generated via data mining
Yang, M., Adomavicius, G., Burtch, G. & Ren, Y., Mar 1 2018, In : Information Systems Research. 29, 1, p. 4-24 21 p.Research output: Contribution to journal › Article
Measurement errors
Data mining
econometrics
Specifications
trend