zhaozhiyong19890102 / Recommender-SystemLinks
推荐系统综述
☆523Updated 2 years ago
Alternatives and similar repositories for Recommender-System
Users that are interested in Recommender-System are comparing it to the libraries listed below
Sorting:
- 原理解析及代码实战,推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴,欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues,也可加文末的联系方式向我询问!☆703Updated 3 years ago
- 阅读过的推荐系统论文的归类总结,持续更新中…☆379Updated 6 years ago
- 推荐系统竞赛TOP开源解决方案汇总。☆260Updated 3 years ago
- 主流推荐系统Rank算法的实现☆259Updated last year
- 优质的推荐算法资源汇总☆158Updated 3 years ago
- 【浅梦学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容☆1,740Updated 2 years ago
- 该仓库主要记录 推荐系统 算法工程师相关的面试题☆578Updated last year
- 项亮的《推荐系统实践》的代码实现☆495Updated 4 years ago
- 存放推荐算法相关代码、文档、资料☆254Updated 4 years 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☆638Updated 3 years ago
- 《互联网大厂推荐算法实战》资料库☆294Updated 2 years ago
- 推荐系统学习笔记☆212Updated 2 years ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆558Updated this week
- CTR模型代码 和学习笔记总结☆393Updated 3 years ago
- 《推荐系统实践》代码实现☆736Updated 6 years ago
- 推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/☆291Updated 4 years ago
- 推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction☆1,014Updated last year
- 推荐算法实战(Recommend algorithm)☆212Updated last month
- 基于 Pytorch 实现推荐系统相关的算法☆181Updated 3 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…☆230Updated 2 years ago
- Recommender System Papers☆978Updated 2 years 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)☆267Updated 3 months ago
- 推荐系统之深度学习模型,框架采用tensorflow2☆58Updated 3 years ago
- Recommender Learning with Tensorflow2.x☆1,952Updated 3 years ago
- RSTutorials: A Curated List of Algorithms about Traditional and Social Recommender System.☆714Updated last year
- 基于netflix prize 和 H&M开源数据集,从零开始构建企业级推荐系统。☆96Updated 7 months ago
- 推荐系统从入门到实战☆166Updated 3 years ago
- key Deep Learning engineering tricks in recsys☆801Updated 4 years ago
- 推荐系统☆808Updated 6 years ago
- 推荐系统排序模型复现☆47Updated 4 years ago