Recommender System models continue to grow in complexity, yet some relatively straightforward approaches, which might provide better solutions for most businesses, are often overlooked. In this talk, I will delve deeper into recommender models based on graph theory and graph algorithms, ranging from PageRank walks to Graph Neural Networks. This exploration will include an evaluation of their practical applications and effectiveness in various business contexts.
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ML Con Munich 2024, Dr. Mirza Klimenta
