Paper Matching with Local Fairness Constraints-Reference-Cited by-同舟云学术

Paper Matching with Local Fairness Constraints

Published:2019-07-25 Issue: Volume: Page:
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Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Kobren Ari¹,Saha Barna¹,McCallum Andrew¹

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

Funder

Alfred P. Sloan Foundation

Google

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330899

Reference30 articles.

1. C. F. Camerer and E. J. Johnson. 1997. 10 The process-performance paradox in expert judgment: How can experts know so much and predict so badly? Research on judgment and decision making: Currents connections and controversies (1997). C. F. Camerer and E. J. Johnson. 1997. 10 The process-performance paradox in expert judgment: How can experts know so much and predict so badly? Research on judgment and decision making: Currents connections and controversies (1997).

2. L. Charlin and R. S. Zemel. 2013. The Toronto paper matching system: an automated paper-reviewer assignment system. In ICML . L. Charlin and R. S. Zemel. 2013. The Toronto paper matching system: an automated paper-reviewer assignment system. In ICML .

3. Recommender systems for the conference paper assignment problem

4. S. T. Dumais and J. Nielsen. 1992. Automating the assignment of submitted manuscripts to reviewers. In Research and development in information retrieval . 10.1145/133160.133205 S. T. Dumais and J. Nielsen. 1992. Automating the assignment of submitted manuscripts to reviewers. In Research and development in information retrieval . 10.1145/133160.133205

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