推荐系统
☆821Apr 18, 2019Updated 7 years ago
Alternatives and similar repositories for RecommenderSystems
Users that are interested in RecommenderSystems are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 推荐系统实例☆790Jul 2, 2018Updated 8 years ago
- 《推荐系统实践》代码实现☆746Mar 11, 2019Updated 7 years ago
- tensorflow实战练习,包括强化学习、推荐系统、nlp等☆7,036Sep 24, 2023Updated 3 years ago
- 历史学习项目:Spark 电影推荐、爬虫、Web 与后台。新版持续开发见 cinematch-recommender。☆3,012Oct 21, 2026Updated last week
- 项亮的《推荐系统实践》的代码实现☆497Oct 30, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 一个电影推荐系统☆871Mar 2, 2022Updated 4 years ago
- 图书推荐系统,基于商品的协同过滤算法实现☆327May 20, 2020Updated 6 years ago
- 计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估☆2,083Dec 17, 2019Updated 6 years ago
- 大数据/数据挖掘/推荐系统/机器学习相关资源☆1,415Oct 14, 2019Updated 7 years ago
- MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。☆1,313Mar 31, 2019Updated 7 years ago
- 推荐项目(实时推荐和离线推荐)☆251Oct 24, 2017Updated 9 years ago
- UserCF和ItemCF协同过滤推荐算法的实现☆562Feb 24, 2022Updated 4 years ago
- 网易云音乐推荐系统实现☆271Dec 8, 2017Updated 8 years ago
- key Deep Learning engineering tricks in recsys☆805Oct 5, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集,构建以FM和LR为核心的推荐系统).☆298Dec 30, 2021Updated 4 years ago
- 推荐系统学习资料、源码、及读书笔记☆137Jun 8, 2026Updated 4 months ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆102Apr 25, 2018Updated 8 years ago
- CTR prediction model based on spark(LR, GBDT, DNN)☆922Mar 6, 2020Updated 6 years ago
- 该仓库尝试整理推荐系统领域的一些经典算法模型☆2,182Oct 15, 2023Updated 3 years ago
- 新闻推荐系统☆280Jan 25, 2018Updated 8 years ago
- 一些传统推荐算法的实现,包括基于内容的推荐,协同过滤,矩阵分解☆295Mar 7, 2018Updated 8 years ago
- 黑马头条推荐系统☆101Sep 24, 2019Updated 7 years ago
- Classic papers and resources on recommendation☆3,578Oct 16, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This repository contains Deep Learning based articles , paper and repositories for Recommender Systems☆2,893Feb 27, 2020Updated 6 years ago
- 推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/☆7,458Jun 27, 2026Updated 4 months ago
- AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆42,611Nov 12, 2024Updated last year
- 推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品/Demo☆171Jan 20, 2021Updated 5 years ago
- Interview = 简历指南 + 算法题 + 八股文 + 源码分析☆8,981Oct 20, 2023Updated 3 years ago
- RSTutorials: A Curated List of Must-read Papers on Recommender System.☆6,520Oct 22, 2026Updated last week
- 基于tensorflow的个性化电影推荐系统实战(有前端)☆282Dec 27, 2019Updated 6 years ago
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,047Oct 11, 2026Updated 2 weeks ago
- 基于Flink实现的商品实时推荐系统。flink统计商品热度,放入redis缓存,分析日志信息,将画像标签和实时记录放入Hbase。在用户发起推荐请求后,根据用户画像重排序热度榜,并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品,最后返回新的用户列表。☆4,473Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be…☆809May 21, 2019Updated 7 years ago
- QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)☆1,639Dec 26, 2023Updated 2 years ago
- Recommender Learning with Tensorflow2.x☆1,981Apr 29, 2022Updated 4 years ago
- [译] NumPy 中文参考(待校对)☆79Mar 12, 2019Updated 7 years ago
- 阅读过的推荐系统论文的归类总结,持续更新中…☆381Mar 9, 2019Updated 7 years ago
- ☆1,156Apr 10, 2020Updated 6 years ago
- A Deep Learning Recommender System☆2,783Jun 2, 2024Updated 2 years ago