20002020

Research output per year

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Research Output

2020

Multistakeholder recommendation: Survey and research directions

Abdollahpouri, H., Adomavicius, G., Burke, R., Guy, I., Jannach, D., Kamishima, T., Krasnodebski, J. & Pizzato, L., Mar 1 2020, In : User Modeling and User-Adapted Interaction. 30, 1, p. 127-158 32 p.

Research output: Contribution to journalArticle

2019
1 Scopus citations

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

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
1 Scopus citations

Reducing recommender system biases: An investigation of rating display designs

Adomavicius, G., Bockstedt, J. C., Curley, S. P. & Zhang, J., Jan 1 2019, In : MIS Quarterly: Management Information Systems. 43, 4, p. 1321-1341 21 p.

Research output: Contribution to journalArticle

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

1 Scopus citations
2 Scopus citations

Workshop on context-aware recommender systems

Adomavicius, G., Ricci, F., Bauman, K., Tuzhilin, A., Mobasher, B. & Unger, M., Sep 10 2019, RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 548-549 2 p. (RecSys 2019 - 13th ACM Conference on Recommender Systems).

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

Open Access
2018

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

16 Scopus citations

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

Zhao, Q., Harper, F. 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. (Proceedings of the ACM Symposium on Applied Computing).

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

4 Scopus citations

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

6 Scopus citations
4 Scopus citations
2017

Coalition-based pricing in ascending combinatorial auctions

Bichler, M., Hao, Z. & Adomavicius, G., Oct 26 2017, Handbook of Spectrum Auction Design. Cambridge University Press, p. 493-528 36 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

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: Contribution to journalArticle

6 Scopus citations

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: Contribution to journalArticle

Open Access
12 Scopus citations
17 Scopus 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: Chapter in Book/Report/Conference proceedingChapter

Open Access
11 Scopus citations

Use and Customization of Risk Scores for Predicting Cardiovascular Events Using Electronic Health Record Data

Wolfson, J., Vock, D. M., Bandyopadhyay, S., Kottke, T., Vazquez-Benitez, G., Johnson, P., Adomavicius, G. & O'Connor, P. J., Apr 24 2017, In : Journal of the American Heart Association. 6, 4

Research output: Contribution to journalArticle

Open Access
17 Scopus citations

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. (RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems).

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

5 Scopus citations
2016

Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting

Vock, D. M., Wolfson, J., Bandyopadhyay, S., Adomavicius, G., Johnson, P. E., Vazquez-Benitez, G. & O'Connor, P. J., Jun 1 2016, In : Journal of Biomedical Informatics. 61, p. 119-131 13 p.

Research output: Contribution to journalArticle

Open Access
11 Scopus citations

Classification, ranking, and top-K stability of recommendation algorithms

Adomavicius, G. & Zhang, J., Dec 1 2016, In : INFORMS Journal on Computing. 28, 1, p. 129-147 19 p.

Research output: Contribution to journalArticle

12 Scopus citations

Recommendations with a purpose

Jannach, D. & Adomavicius, G., Sep 7 2016, RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 7-10 4 p. (RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems).

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

48 Scopus citations

Understanding effects of personalized vs. aggregate ratings on user preferences

Adomavicius, G., Bockstedt, J., Curley, S. & Zhang, J., Jan 1 2016, In : CEUR Workshop Proceedings. 1679, p. 14-21 8 p.

Research output: Contribution to journalConference article

6 Scopus citations
2015

A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data

Wolfson, J., Bandyopadhyay, S., Elidrisi, M., Vazquez-Benitez, G., Vock, D. M., Musgrove, D., Adomavicius, G., Johnson, P. E. & O'Connor, P. J., Sep 20 2015, In : Statistics in Medicine. 34, 21, p. 2941-2957 17 p.

Research output: Contribution to journalArticle

11 Scopus citations

Bundling effects on variety seeking for digital information goods

Adomavicius, G., Bockstedt, J. & Curley, S. P., Jan 1 2015, In : Journal of Management Information Systems. 31, 4, p. 182-212 31 p.

Research output: Contribution to journalArticle

10 Scopus citations

Computational strategies for inventory liquidation

Adomavicius, G., Gupta, A., Sheffler, Z. & Yang, M., Jan 1 2015, 25th Annual Workshop on Information Technologies and Systems, WITS 2015. University of Texas at Dallas

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

Context-aware recommender systems

Adomavicius, G. & Tuzhilin, A., Jan 1 2015, Recommender Systems Handbook, Second Edition. Springer US, p. 191-226 36 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

196 Scopus citations

Coordination and pricing in multi-object auctions

Bichler, M., Hao, Z. & Adomavicius, G., Jan 1 2015.

Research output: Contribution to conferencePaper

Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data

Bandyopadhyay, S., Wolfson, J., Vock, D. M., Vazquez-Benitez, G., Adomavicius, G., Elidrisi, M., Johnson, P. E. & O’Connor, P. J., Jul 8 2015, In : Data Mining and Knowledge Discovery. 29, 4, p. 1033-1069 37 p.

Research output: Contribution to journalArticle

40 Scopus citations

Improving stability of recommender systems: A meta-algorithmic approach

Adomavicius, G. & Zhang, J., Jun 1 2015, In : IEEE Transactions on Knowledge and Data Engineering. 27, 6, p. 1573-1587 15 p., 6994303.

Research output: Contribution to journalArticle

17 Scopus citations

Multi-criteria recommender systems

Adomavicius, G. & Kwon, Y., Jan 1 2015, Recommender Systems Handbook, Second Edition. Springer US, p. 847-880 34 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

63 Scopus citations
2014

A machine learning approach to improving dynamic decision making

Meyer, G., Adomavicius, G., Johnson, P. E., Elidrisi, M., Rush, W. A., Sperl-Hillen, J. A. M. & O'Connor, P. J., Jun 2014, In : Information Systems Research. 25, 2, p. 239-263 25 p.

Research output: Contribution to journalArticle

21 Scopus citations

De-biasing user preference ratings in recommender systems

Adomavicius, G., Bockstedt, J., Shawn, C. & Zhang, J., Jan 1 2014, In : CEUR Workshop Proceedings. 1253, p. 2-9 8 p.

Research output: Contribution to journalConference article

12 Scopus citations

De-biasing user preference ratings in recommender systems completed research paper

Adomavicius, G., Bockstedt, J., Curley, S. & Zhang, J., Jan 1 2014.

Research output: Contribution to conferencePaper

Optimization-based approaches for maximizing aggregate recommendation diversity

Adomavicius, G. & Kwon, Y., Jan 1 2014, In : INFORMS Journal on Computing. 26, 2, p. 351-369 19 p.

Research output: Contribution to journalArticle

21 Scopus citations

Preface to the special issue on context-aware recommender systems

Adomavicius, G. & Jannach, D., Feb 1 2014, In : User Modeling and User-Adapted Interaction. 24, 1-2, p. 1-5 5 p.

Research output: Contribution to journalReview article

16 Scopus citations
2013

Do recommender systems manipulate consumer preferences? A study of anchoring effects

Adomavicius, G., Bockstedt, J. C., Curley, S. P. & Zhang, J., Oct 22 2013, In : Information Systems Research. 24, 4, p. 956-975 20 p.

Research output: Contribution to journalArticle

71 Scopus citations
21 Scopus citations

Toward identification and adoption of best practices in algorithmic recommender systems research

Konstan, J. A. & Adomavicius, G., Dec 1 2013, Proceedings of the Int. Workshop on Reproducibility and Replication in Recommender Systems Evaluation, RepSys 2013 - Held at the 7th ACM International Conference on Recommender Systems, RecSys 2013. p. 23-28 6 p.

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

10 Scopus citations

Understanding longitudinal dynamics of recommender systems performance: An agent-based modeling approach

Adomavicius, G., Gupta, A., Ketter, W. & Zhang, J., Jan 1 2013.

Research output: Contribution to conferencePaper

User acceptance of complex electronic market mechanisms: Role of information feedback

Adomavicius, G., Curley, S. P., Gupta, A. & Sanyal, P., Jan 1 2013, In : Journal of Operations Management. 31, 6, p. 489-503 15 p.

Research output: Contribution to journalArticle

6 Scopus citations
2012

4th Workshop on context-aware recommender systems (CARS 2012)

Adomavicius, G., Baltrunas, L., De Luca, E. W., Hussein, T. & Tuzhilin, A., Oct 17 2012, RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems. 1 p. (RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems).

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

9 Scopus citations

Effect of information feedback on bidder behavior in continuous combinatorial auctions

Adomavicius, G., Curley, S. P., Gupta, A. & Sanyal, P., Apr 1 2012, In : Management Science. 58, 4, p. 811-830 20 p.

Research output: Contribution to journalArticle

32 Scopus citations
18 Scopus citations

Effects of online recommendations on consumers' willingness to pay

Adomavicius, G., Bockstedt, J., Curley, S. P. & Zhang, J., Dec 1 2012, In : CEUR Workshop Proceedings. 893, p. 40-45 6 p.

Research output: Contribution to journalArticle

7 Scopus citations

Evolving decision strategies for dynamic environments: A genetic programming approach

Meyer, G., Johnson, P. E., Adomavicius, G., O'Connor, P., Sperl-Hillen, J., Rush, W., Elidrisi, M. & Bandyopadhyay, S., 2012, 22nd Workshop on Information Technologies and Systems, WITS 2012. University of Florida, Warrington College, p. 175-180 6 p.

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

Impact of data characteristics on recommender systems performance

Adomavicius, G. & Zhang, J., Apr 1 2012, In : ACM Transactions on Management Information Systems. 3, 1, 3.

Research output: Contribution to journalArticle

46 Scopus citations

Improving aggregate recommendation diversity using ranking-based techniques

Adomavicius, G. & Kwon, Y. O., Apr 18 2012, In : IEEE Transactions on Knowledge and Data Engineering. 24, 5, p. 896-911 16 p., 5680904.

Research output: Contribution to journalArticle

282 Scopus citations

Iterative smoothing technique for improving stability of recommender systems

Adomavicius, G. & Zhang, J., Dec 1 2012, In : CEUR Workshop Proceedings. 910, p. 3-8 6 p.

Research output: Contribution to journalConference article

3 Scopus citations
36 Scopus citations