Google published a research paper about helping recommender systems understand what users mean when they interact with them. Their goal with this new approach is to overcome the limitations inherent in the current state-of-the-art recommender systems in order to get a finer, detailed understanding of what users want to read, listen to, or watch at the level of the individual.
Personalized Semantics
Recommender systems predict what a user would like to read or watch next. YouTube, Google Discover, and Google News are examples of recommender systems…

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