LightFM
matrix-factorization
| LightFM | matrix-factorization | |
|---|---|---|
| - | 1 | |
| 4,604 | 19 | |
| 0.5% | - | |
| 4.8 | 2.9 | |
| 4 months ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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LightFM
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matrix-factorization
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Recently launched my first end-to-end ML app! A film recommender system based on matrix factorization, built for Letterboxd users.
I originally tried using RiverML, which is dedicated to online ML, but after a ton of tweaking I still wasn't satisfied. In the end, I used the matrix-factorization library, which is not at all flashy but worked much, much better. By adjusting the learning rate and epochs for feeding new ratings into the model I can adjust how "personalized" the ratings are, and after a few days of messing with it I got it where I wanted it.
What are some alternatives?
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Keras - Deep Learning for humans