User:Qzekrom/Two-tower model
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Last edited by Qzekrom (talk | contribs) 60 days 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]
- https://hackernoon.com/understanding-the-two-tower-model-in-personalized-recommendation-systems
- https://cloud.google.com/blog/products/ai-machine-learning/scaling-deep-retrieval-tensorflow-two-towers-architecture
- https://www.hopsworks.ai/dictionary/two-tower-embedding-model
References
[edit]- ^ Cheng, Jianqiao (2023-01-09). "Understanding the Two-Tower Model in Personalized Recommendation Systems". HackerNoon. Retrieved 2024-04-20.