solidglue / DNN_for_YouTube_Recommendations
YouTube推荐系统深度学习召回排序算法, Deep Neural Networks for YouTube Recommendations. YouTubeDNN.
☆114Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for DNN_for_YouTube_Recommendations
- 深度学习TensorFlow2入门指南。Deep Learning TensorFlow2 API and Examples with Python3 and Jupyter Notebook.☆98Updated 6 months ago
- Large scale recommender system inference Microservices and APIs (Dubbo 、gRPC and REST ) with Golang.☆110Updated 6 months ago
- 机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.☆110Updated 6 months ago
- 推荐系统入门指南,全面介绍了工业级推荐系统的理论知识(王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统),如何基于TensorFlow2训练模型,如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced th…☆462Updated 6 months ago
- 深度学习与推荐系统学习,理论结合代码更香。☆94Updated 2 years ago
- 推荐系统论文算法实现,包括序列推荐,多任务学习,元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…☆159Updated last year
- 用pytorch 方法复现了二十多个经典的推荐算法论文,其中包含排序论文和推荐召回论文,并在demo里面选了一个召回模型和排序模型的运行示例。☆49Updated last year
- ☆18Updated 3 months ago
- 一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)☆240Updated 2 years ago
- Paper阅读记录博客(基于GitHub Action和GitHub Issue实现)。☆27Updated 5 months ago
- 零基础入门推荐系统 - 新闻推荐 Top2☆112Updated 3 years ago
- 基于王喆老师的深度学习推荐系统书籍,主要用pytorch实现了里面涉及到的算法,有很少数量的算法是用tf2.0实现的。在这个过程中也参考很多大佬的复现代码,希望自己能持续学习 多多去实现。☆35Updated last year
- Codes for 2022 Knowledge-based Systems (KBS) paper "Time Enhanced Graph Neural Networks for Session-based Recommendation"☆10Updated 2 years ago
- 阿里DIEN与DIN Tensorflow2.0 复现☆52Updated 4 years ago
- 该项目使用经典的电影推荐数据集ml-100k并基于PyTorch实现《深度学习推荐系统(王喆著)》的部分经典模型☆9Updated 10 months ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆423Updated 6 months ago
- 基于 Pytorch 实现推荐系统相关的算法☆161Updated 3 years ago
- 项亮等《推荐系统实践》算法代码☆28Updated 4 years ago
- all kinds of recommendation algorithms implement.☆115Updated 3 years ago
- A curated list of awesome resources about multimodal recommender systems.☆301Updated 7 months ago
- 推荐系统学习笔记☆191Updated last year
- 利用大模型赋能智能推荐,通过案例讲解大模型推荐算法原理,并且给出代码实现。☆15Updated 3 months ago
- 利用pytorch实现的wide&deep,并利用avazu数据集进行了验证☆10Updated 3 years ago
- 优质的推荐算法资源汇总☆87Updated 2 years ago
- 推荐算法实战(Recommend algorithm)☆136Updated 4 months ago
- 该仓库记录搜索推荐算法工程师的必备面试知识点+paper☆190Updated 8 months ago
- 练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等☆545Updated 2 years ago
- ☆71Updated 3 years ago
- To be continued☆9Updated 3 years ago
- 详细介绍知名大厂在搜索、推荐、广告等工业界的实践、前沿论文、技术干货分享☆14Updated 7 months ago