I am thrilled to share the outstanding achievement of our Data Engineer Intern, Sridevi, from Loyola-Icam College of Engineering and Technology, who has successfully implemented the "Fairness in Personalized Rankings Tutorial" during her internship at Hackveda!
Project Overview: Sridevi's project addresses the critical task of countering bias in personalized rankings within the FairRank project. This comprehensive tutorial covers key concepts, data engineering approaches, algorithm development strategies, and includes a Python implementation using a synthetic movie recommendation dataset.
Key Insights from the Tutorial: Sridevi dives into essential aspects of countering bias in personalized rankings, emphasizing both data engineering and algorithm development strategies.
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