Construct · 1 fields · 1 citations

matrix factorization: a standalone construct

One name. One construct. A landmark on the map.

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Machine learning

representing users and items as vectors of latent factors learned from ratings so their inner product predicts preference.

In machine learning, matrix factorization refers to representing users and items as vectors of latent factors learned from ratings so their inner product predicts preference. This meaning comes from Koren (2009) in Computer.[1]

Unit
Recovery means
Measured by

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Nearby constructs

latent4 fields · 6 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs matrix3 fields · 4 citationsjingle · one word, three constructs

References

Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix Factorization Techniques for Recommender Systems. Computer, 42(8), 30-37. https://doi.org/10.1109/mc.2009.263

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