Open daviddwlee84 opened 4 years ago
https://github.com/shenweichen/DeepCTR https://en.wikipedia.org/wiki/Click-through_rate
stasi009/NumpyWDL: Implement Wide & Deep algorithm by using NumPy
wzhe06/SparrowRecSys: A Deep Learning Recommender System
NVIDIA-Merlin/Transformers4Rec: Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
推荐系统有哪些比较好的论文? - 知乎
AstraZeneca/rexmex: A general purpose recommender metrics library for fair evaluation.
yoongi0428/RecSys_PyTorch: PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
tensorflow/recommenders: TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Doragd/Algorithm-Practice-in-Industry: 搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
https://github.com/shenweichen/DeepCTR https://en.wikipedia.org/wiki/Click-through_rate