推荐系统八股160问
☆366Mar 30, 2025Updated last year
Alternatives and similar repositories for recommend-system-knowledge-summary
Users that are interested in recommend-system-knowledge-summary are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 机器学习,深度学习八股☆283Mar 31, 2025Updated last year
- 搜广推学习笔记:王树森“推荐系统”课程☆238Nov 30, 2024Updated last year
- 代码随想录刷题思路总结(含代码)☆42Nov 30, 2024Updated last year
- 零基础入门推荐系统 - 新闻推荐 Top2☆431Jan 24, 2021Updated 5 years ago
- 零基础入门推荐系统 - 新闻推荐 Top2☆44Mar 19, 2025Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- 2025腾讯广告算法大赛-分数0.0978代码☆101Sep 17, 2025Updated 10 months ago
- Finalist solution for the 2025 Tencent Advertising Algorithm Competition (Generative Recommendation Challenge)☆209Nov 26, 2025Updated 8 months ago
- ☆29Jan 5, 2025Updated last year
- 总结了小红书博主算法小小怪在学习LLM和推荐系统的笔记☆217Jun 24, 2026Updated last month
- 天池新闻推荐项目☆69May 17, 2025Updated last year
- Pytorch Lightning Implement of Generative Recommenders☆116Sep 17, 2024Updated last year
- 基于天池新闻推荐赛数据集实现的新闻推荐☆53Dec 17, 2024Updated last year
- 2025腾讯生成式推荐广告算法大赛(深海大菠萝)☆17Aug 3, 2025Updated last year
- 本项目存放RankMixer复现相关代码☆70Apr 3, 2026Updated 4 months 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.
- [Pytorch] Unofficial Implementation of "Recommender Systems with Generative Retrieval"☆245Dec 19, 2025Updated 7 months ago
- ☆15Mar 21, 2026Updated 4 months ago
- 2025腾讯广告算法大赛相关代码——官方baseline☆39Nov 4, 2025Updated 9 months ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆1,195Updated this week
- TAAC2025初赛第十四名O_o队伍代码☆136Oct 27, 2025Updated 9 months ago
- 《推荐系统:工业架构与核心算法》开源书稿☆340Updated this week
- 🔥🔥🔥 基于 PyTorch Lightning 和 MIND 数据集的模块化新闻推荐系统框架。实现了从特征工程到召回 (DSSM) 与排序 (Deep, DCN, WideDeep, FM) 的完整链路。☆48Apr 12, 2026Updated 4 months ago
- 推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/☆7,285Jun 27, 2026Updated last month
- Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (…☆1,960Updated this week
- 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.
- kaggle比赛—otto多目标推荐系统源代码,单模型分数0.594,LB排名30左右☆90Mar 16, 2023Updated 3 years ago
- [参赛队伍] TAAC 2026 腾讯广告算法大赛 X KDD 2026☆297Aug 7, 2026Updated last week
- ☆4,164Feb 7, 2024Updated 2 years ago
- [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"☆837Jul 1, 2026Updated last month
- ☆123Apr 24, 2026Updated 3 months ago
- Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ran…☆2,580Apr 25, 2026Updated 3 months ago
- [ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."☆235Sep 9, 2024Updated last year
- ☆41May 7, 2025Updated last year
- This is the official baseline code for TAAC2025(parquet format).☆112Apr 24, 2026Updated 3 months ago
- 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.
- 新手友好的基于 Qwen2 的生成式推荐系统,通过大模型理解用户偏好生成候选物品,融合 TF-IDF 关键词召回、热门物品召回构建多源策略,平衡相关性与多样性。采用 LightGBM 排序模型精准打分,内置召回率、NDCG 等评估指标量化效果。通过 Flask 封装 API…☆54Dec 6, 2025Updated 8 months ago
- 🎯 Build a winning recommendation system with this effective generative framework, advancing to the finals of the 2025 Tencent Advertisin…☆27Updated this week
- 一个可直接落地的端到端推荐系统原型,覆盖离线训练、在线推断与可视化展示,核心链路为:DSSM 双塔召回 → DeepFM 粗排 → 策略补充(热门/冷启动)。☆16Aug 13, 2025Updated last year
- 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☆78Mar 16, 2021Updated 5 years ago
- 移动推荐算法,以阿里巴巴移动电商平台的真实用户-商品行为数据为基础,同时提供移动时代特有的位置信息,希望你能够挖掘数据背后丰富的内涵,为移动用户在合适的时间、合适的地点精准推荐合适的内容。☆27May 27, 2026Updated 2 months ago
- A Flexible Framework for Generative Recommendation☆48Apr 9, 2026Updated 4 months ago
- 推荐系统-腾讯广告算法大赛☆15Sep 12, 2025Updated 11 months ago