shenweichen/DeepCTR
Python library providing modular deep learning models for click-through-rate prediction in recommendation systems.

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DeepCTR is a Python package offering easy-to-use, modular deep-learning based CTR prediction models. It provides implementations of well-known architectures including DeepFM, DIN, DIEN, xDeepFM, MMoE, and other recommendation models. The library integrates with TensorFlow and is designed for building and experimenting with CTR prediction models in advertising and recommendation contexts.