Reciprocal Human-Machine Learning: A Theory and an Instantiation for the Case of Message Classification

Dov Te'eni; Inbal Yahav; Alexely Zagalsky; David Schwartz; Gahl Silverman; Daniel Cohen; Yossi Mann; Dafna Lewinsky

doi:10.1287/mnsc.2022.03518

Reciprocal Human-Machine Learning: A Theory and an Instantiation for the Case of Message Classification

Dov Te'eni, Inbal Yahav^*, Alexely Zagalsky, David Schwartz, Gahl Silverman, Daniel Cohen, Yossi Mann, Dafna Lewinsky

^*Corresponding author for this work

Coller School of Management

Bar-Ilan University

Research output: Contribution to journal › Article › peer-review

Original language	English
Number of pages	27
Journal	Management Science
DOIs	https://doi.org/10.1287/mnsc.2022.03518
State	E-pub ahead of print - 14 Nov 2023

Keywords

Design science
Human-machine interaction
Reciprocal learning

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10.1287/mnsc.2022.03518

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AU - Mann, Yossi

AU - Lewinsky, Dafna

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Reciprocal Human-Machine Learning: A Theory and an Instantiation for the Case of Message Classification

Keywords

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