JackHCC / Rec-ModelsLinks
📝 Summary of recommendation, advertising and search models.【推广搜技术汇总⭐】
☆23Updated 2 years ago
Alternatives and similar repositories for Rec-Models
Users that are interested in Rec-Models are comparing it to the libraries listed below
Sorting:
- 深度学习与推荐系统学习,理论结合代码更香。☆132Updated 2 years ago
- ☆102Updated 4 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…☆223Updated 2 years ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆538Updated 2 weeks ago
- 《互联网大厂推荐算法实战》资料库☆288Updated 2 years ago
- 基于 Pytorch 实现推荐系统相关的算法☆179Updated 3 years ago
- 优质的推荐算法资源汇总☆151Updated 3 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆321Updated 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)☆262Updated 2 months ago
- Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)☆83Updated 3 years ago
- 零基础入门推荐系统 - 新闻推荐 Top2☆266Updated 4 years ago
- 主流推荐系统Rank算法的实现☆255Updated 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。☆85Updated 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☆47Updated 3 years ago
- all kinds of recommendation algorithms implement.☆126Updated 4 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。☆47Updated 2 years ago
- ☆252Updated 10 months ago
- 推荐系统学习笔记☆208Updated 2 years ago
- 在常规推荐系统算法和系统双优化的范式下,一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合,提出了OneRec算法,希望通过平台或外部各种各样的信息来进行知识集成,打破数据孤岛,极大扩充推荐的“Extra World Knowl…☆153Updated last week
- 推荐系统竞赛TOP开源解决方案汇总。☆258Updated 3 years ago
- 推荐算法实战(Recommend algorithm)☆205Updated 2 weeks 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☆625Updated 3 years ago
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆85Updated last year
- Paper阅读记录博客(基于GitHub Action和GitHub Issue实现)。☆50Updated last year
- 该仓库主要记录 推荐系统 算法工程师相关的面试题☆571Updated 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。☆73Updated 2 years ago
- Paper List of Pre-trained Foundation Recommender Models☆360Updated 11 months ago
- 天池大赛——新闻推荐场景下的用户行为预测挑战赛,SOLO赛,B榜排名5/5338☆52Updated 4 years ago
- 该仓库记录搜索推荐算法工程师的必备面试知识点+paper☆275Updated last year
- A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.☆82Updated 3 years ago