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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.

  • 4 Similar Profiles
Recommender systems Engineering & Materials Science
Websites Engineering & Materials Science
Experiments Engineering & Materials Science
Collaborative filtering Engineering & Materials Science
Clustering algorithms Engineering & Materials Science
Online systems Engineering & Materials Science
Digital storage Engineering & Materials Science
Surveying Engineering & Materials Science

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Research Output 2005 2018

  • 25 Conference contribution
  • 5 Article
  • 2 Chapter
  • 1 Conference article

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

Recommender popularity controls: An observational study

Harper, M., Jan 1 2017, In : CEUR Workshop Proceedings. 1905

Research output: Contribution to journalConference article

Recommender systems
4 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

Recommender systems
Feedback
Costs
Experiments
3 Citations

Understanding how people use natural language to ask for recommendations

Kang, J., Condiff, K., Chang, S., Konstan, J. A., Terveen, L. & Harper, F. M., Aug 27 2017, RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 229-237 9 p.

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

Recommender systems
Navigation
9 Citations

Crowd-based personalized natural language explanations for recommendations

Chang, S., Harper, M. & Terveen, L. G., Sep 7 2016, RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 175-182 8 p.

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

Surveying

Datasets

Understanding How People Use Natural Language to Ask for Recommendations: Query Dataset

Chang, S. (Creator), Condiff, K. (Creator), Harper, M. (Creator), Kang, J. (Creator), Konstan, J. A. (Creator), Terveen, L. G. (Creator), Data Repository for the University of Minnesota, 2017

Dataset