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Explore the challenges and approaches to developing recommendation engines in a public service organization through this 41-minute talk by Alessandro Piscopo from BBC at the Data Science Festival. Delve into the unique considerations faced by the world's largest public service broadcaster in creating recommender systems that align with their mission to serve the public interest. Discover how the BBC tackles methodological challenges in quantifying public service values and addresses cultural barriers between data scientists and editorial staff. Learn from a real-world use case and gain insights into balancing engaging user experiences with ethical considerations in content recommendations. Suitable for those with some technical knowledge, this introductory-level presentation offers valuable perspectives on developing value-driven recommendation systems in the context of public service media.
