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.

  • 5 Similar Profiles
Recommender systems Engineering & Materials Science
Websites Engineering & Materials Science
Online Communities Mathematics
Experiments Engineering & Materials Science
Collaborative filtering Engineering & Materials Science
Clustering algorithms Engineering & Materials Science
Online systems Engineering & Materials Science
Incentives Mathematics

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Research Output 2005 2017

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

Recommender popularity controls: An observational study

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

Research output: Contribution to journalConference article

Recommender systems
1 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
2 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
5 Citations

Crowd-based personalized natural language explanations for recommendations

Chang, S., Harper, F. M. & Terveen, L. 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

CrowdLens: Experimenting with crowd-powered recommendation and explanation

Chang, S., Harper, F. M., He, L. & Terveen, L. G. Jan 1 2016 Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016. AAAI press, p. 52-61 10 p.

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

Recommender systems
Experiments