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Last edited by Qzekrom (talk | contribs) 2 months ago. (Update) |
In machine learning and recommender systems, a two-tower model is a neural network architecture that combines learned vector embeddings of users and items into a similarity measure.[1]
References
edit- ^ Cheng, Jianqiao (2023-01-09). "Understanding the Two-Tower Model in Personalized Recommendation Systems". HackerNoon. Retrieved 2024-04-20.