Matrix Factorization Techniques for Recommender Systems.¶
Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix Factorization Techniques for Recommender Systems. Computer, 42(8), 30-37.
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1 citation across 1 artifact.
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Primes¶
- Factorization
- Matrix factorization moved into recommender systems as the "users and items in a shared latent space" pattern now standard in collaborative filtering and embedding-based retrieval.
This sourceCanonical statement of matrix factorization placing users and items in a shared latent-factor space, the structure carried from numerical algebra into collaborative filtering.
- Matrix factorization moved into recommender systems as the "users and items in a shared latent space" pattern now standard in collaborative filtering and embedding-based retrieval.
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Registry ID ref:7665917deb30 · see in the full table