hexiangnan/neural_factorization_machine
TenforFlow Implementation of Neural Factorization Machine
This tool helps data scientists and machine learning engineers build more accurate prediction models for sparse data. You provide historical datasets where many data points are missing, and it outputs a model capable of making predictions for new, similar data, useful for tasks like recommendation systems or click-through rate prediction.
472 stars. No commits in the last 6 months.
Use this if you need to build predictive models on datasets where most feature values are zeros or missing, common in user-item interactions or categorical data.
Not ideal if your data is dense and complete, or if you need to train models for tasks other than regression or binary classification.
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472
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184
Language
Python
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Last pushed
Mar 01, 2020
Commits (30d)
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