This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The repo is organized to incl
☆70Dec 11, 2025Updated 10 months ago
Alternatives and similar repositories for YouTube-DNN-RecSys
Users that are interested in YouTube-DNN-RecSys are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Apr 22, 2020Updated 6 years ago
- YouTube推荐算法☆114Dec 15, 2021Updated 4 years ago
- recommendation system with Youtube Deep Net☆86Sep 4, 2018Updated 8 years ago
- Neural candidates generation network based on Youtube reommender paper☆21Feb 13, 2019Updated 7 years ago
- code of paper `Deep Neural Networks for Youtube Recommendation`☆409Apr 11, 2017Updated 9 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 短视频 youtube召回模型推荐,特征包括标题 tags id,tfserving docker部署☆21Jan 21, 2021Updated 5 years ago
- 基础的深度学习实验研究结果汇 总笔记☆510May 22, 2023Updated 3 years ago
- 在作为推荐算法实习生时所学习到的算法☆17Jan 14, 2016Updated 10 years ago
- Youtube recommendation system in Tensorflow implementation☆20Aug 16, 2019Updated 7 years ago
- ☆43Apr 28, 2020Updated 6 years ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,436Apr 18, 2026Updated 6 months ago
- 推荐系统与深度学习☆35Apr 19, 2021Updated 5 years ago
- ☆15Jun 9, 2020Updated 6 years ago
- ☆15Jan 15, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆409Mar 18, 2025Updated last year
- Wide and Deep Learning for CTR Prediction in tensorflow☆292Aug 27, 2021Updated 5 years ago
- HUAWEI-DIGIX 算法精英大赛人口属性预测赛题☆10Aug 28, 2019Updated 7 years ago
- Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "☆16Apr 14, 2018Updated 8 years ago
- ☆11Mar 26, 2020Updated 6 years ago
- 一个可解释性电影推荐系统,系统分为 App 端以及服务器端,App可在安卓端使用,服务器使用Python 流行Web框架 Django 和Flask搭建,并使用定时任务 crontab 命令进行定时推荐。APP端实现了用户登录注册、查看最新电影列表、电影 top 榜单、电影…☆10Mar 28, 2025Updated last year
- ☆133Dec 8, 2022Updated 3 years ago
- ☆17Mar 20, 2018Updated 8 years ago
- Just a demonstration of some sampling techniques (rejection sampling, importance sampling, sampling importance resampling, Metropolis sam…☆11Aug 24, 2013Updated 13 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- 推荐系统排序模型复现☆47Nov 5, 2020Updated 6 years ago
- 2019 CCF☆16Oct 7, 2019Updated 7 years ago
- ☆13Dec 23, 2025Updated 10 months ago
- kafka + structured streaming + phoenix + elasticsearch 基于行为日志实现热门推荐,用户偏好推荐,召回融合策略实现。☆20Sep 5, 2023Updated 3 years ago
- Make your pet's food bowl smarter by tracking refilling and consumption automatically.☆10Apr 27, 2021Updated 5 years ago
- distributed faiss for image retrieval☆21Apr 4, 2018Updated 8 years ago
- ☆15Feb 15, 2017Updated 9 years ago
- Mimic interview☆10Jun 26, 2020Updated 6 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆235Feb 6, 2020Updated 6 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆219Mar 15, 2025Updated last year
- 基于“一点资讯”YiDian-News 数据集的深度学习推荐系统项目,涵盖特征工程、DSSM 双塔召回(集成 Faiss 向量检索)及基于 DeepFM + MMoE 的多目标排序建模,完整实现了从数据处理到线上推理的推荐全流程。☆11Apr 23, 2025Updated last year
- Text representation works, such as : paper, code, review, datasets, blogs, thesis and so on.☆14Mar 2, 2019Updated 7 years ago
- Let ChatGPT help you learn English in an innovative way☆14Feb 9, 2023Updated 3 years ago
- [ICML 2024] Codes for C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models☆18Jun 4, 2024Updated 2 years ago
- implementation of algorithms in PCFG☆12Nov 10, 2018Updated 7 years ago
- 实现功能:新输入一段文本,与已有数据进行相似度进行比较,返回TOP10的文本。主要实现方法:jieba中文分词、gensim、TF-IDF词汇重要性、cosine余弦相似度。☆11Jul 30, 2020Updated 6 years ago