Showing 1-5 of 5 projects
Collection of research papers on computational advertising techniques like CTR prediction and recommender systems.
A unified, comprehensive and efficient recommendation library for building recommendation systems.
A Python library for building recommender systems using popular deep learning techniques like DeepFM, NCF, and more.
A configurable, tunable, and reproducible library for CTR prediction in Python with PyTorch support.
A PyTorch library for building Factorization Machine models for click-through rate prediction tasks.
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