spark-gbtlr

Papers on Computational Advertising

A unified, comprehensive and efficient recommendation library

Recommender Learning with Tensorflow2.x

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Factorization Machine models in PyTorch

CTR prediction model based on spark(LR, GBDT, DNN)

TensorFlow Script

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

Paper List for Recommend-system PreTrained Models