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15min chapter
Becoming a deep learning researcher without a PhD, graph neural network(GNN), time series, recommender system with Kyle Kranen - The Data Scientist Show#028
The Data Scientist Show
Navigating Sensitivity in Recommender Systems
The chapter delves into the challenges of sensitivity in recommender systems, emphasizing the need for evaluation metrics that consider user experience and uniqueness in recommendations. It explores the balance between learning and sensitivity in models, touching on the importance of exploration versus exploitation in generating diverse and relevant recommendations. The conversation also discusses the ethical considerations surrounding algorithmic recommendations and content moderation.
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