AIBullisharXiv – CS AI · Jun 257/10
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TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems
Google researchers introduce TokenMinds, a system that generates both discrete semantic ID tokens and dense embeddings for user modeling in large-scale recommender systems. Deployed across YouTube's services handling billions of users, the approach demonstrates that semantically grounded user tokens complement traditional dense embeddings while reducing computational overhead through shared vocabulary across different content formats.