Explore the potential biases in private label product recommendations on e-commerce platforms through this 21-minute conference talk from FAccT 2021. Delve into the research conducted by A. Dash, A. Chakraborty, S. Ghosh, A. Mukherjee, and K. Gummadi, examining the dual role of e-commerce platforms as both marketplace operators and product sellers. Investigate the algorithms used, new concerns arising from this conflict of interest, and the data collection methods employed. Analyze key findings related to exposure bias and biases in sponsored recommendations, gaining insights into the implications for fair competition and consumer choice in online marketplaces.
When the Umpire is also a Player - Bias in Private Label Product Recommendations on E-commerce Marketplaces
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Introduction
Background
Algorithms
New Concern
Data Collection
Findings
Exposure Bias
Biases in Sponsored Recommendations
Conclusion
Taught by
ACM FAccT Conference