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#15: Podcast Recommendations in the ARD Audiothek with Mirza Klimenta
Recsperts - Recommender Systems Experts
Optimizing Algorithm Performance for Personalized Recommendations
The discussion highlights the importance of addressing the challenge of non-active users who do not receive appropriate recommendations due to algorithm limitations. Acknowledging the inherent biases in algorithms, the focus shifts to enhancing performance for all user cases. The conversation refers to a study on controlling popularity bias in recommendations and the convergence of user profiles over time. Insights from a personalized recommendations course mention the relevance of two-tower patterns and the need for developing dedicated user profiles to improve the recommendation system.
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