rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。
APACHE-2.0 License
专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,...
Tensorflow implementation of DeepFM for CTR prediction.
A Deep Learning Recommender System
The official implementation of TedRec.
A science toolkit for recommender systems
Google Colaboratory Notebooks and Repositories (by @firmai)
This repository contains Deep Learning based articles , paper and repositories for Recommender Sy...
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on...
Best Practices on Recommendation Systems
Recommender Learning with Tensorflow2.x
tensorflow实战练习,包括强化学习、推荐系统、nlp等
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Classic papers and resources on recommendation
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.