When the Umpire is also a Player - Bias in Private Label Product Recommendations on E-commerce Marketplaces

This course aims to explore bias in private label product recommendations on e-commerce marketplaces. The learning outcomes include understanding the concept of bias in recommendations, identifying exposure bias, and recognizing biases in sponsored recommendations. The course teaches skills such as analyzing algorithms, collecting data, and drawing conclusions based on findings. The teaching method involves presenting research findings in the context of the e-commerce market. The intended audience for this course includes researchers, data analysts, and individuals interested in the intersection of technology and bias in online platforms.