Python Wrapped LibFFM
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Updated
Jul 28, 2018 - Python
Python Wrapped LibFFM
Running field-aware factorization machines on the Criteo data
Benchmarking multiple recommendation models on the Instacart 2017 dataset. Starting with Factorization Machines (FM), this project will extend to deep learning approaches such as DIN, SIM, CAN, Transformers, and Two-Tower architectures, evaluated under ranking-based metrics (Recall@k, NDCG@k).
A Library for Field-aware Factorization Machines
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