搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
☆4,262Updated this week
Alternatives and similar repositories for Algorithm-Practice-in-Industry
Users that are interested in Algorithm-Practice-in-Industry are comparing it to the libraries listed below
Sorting:
- 推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.☆2,064Dec 4, 2025Updated 2 months ago
- 推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/☆6,734Jan 17, 2026Updated last month
- ☆3,890Feb 7, 2024Updated 2 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☆1,804Dec 24, 2022Updated 3 years ago
- Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ran…☆2,342Updated this week
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,001Aug 9, 2024Updated last year
- A framework for large scale recommendation algorithms.☆2,279Dec 19, 2025Updated 2 months ago
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,367Jun 16, 2025Updated 8 months ago
- 精选机器学习,NLP,图像识别, 深度学习等人工智能领域学习资料,搜索,推荐,广告系统架构及算法技术资料整理。算法大牛笔记汇总☆3,647Apr 15, 2024Updated last year
- Papers on Computational Advertising☆4,380Feb 9, 2021Updated 5 years ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,411Apr 26, 2025Updated 10 months ago
- 《互联网大厂推荐算法实战》资料库☆316Apr 25, 2023Updated 2 years ago
- Paper阅读记录博客(基于GitHub Action和GitHub Issue实现)。☆58Sep 19, 2025Updated 5 months ago
- Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (…☆1,754Updated this week
- 该仓库尝试整理推荐系统领域的一些经典算法模型☆2,144Oct 15, 2023Updated 2 years ago
- A Lighting Pytorch Framework for Recommendation Models (PyTorch推荐算法框架), Easy-to-use and Easy-to-extend. https://datawhalechina.github.io/…☆868Updated this week
- RSTutorials: A Curated List of Must-read Papers on Recommender System.☆6,451Updated this week
- Classic papers and resources on recommendation☆3,505Oct 16, 2025Updated 4 months ago
- 【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.☆3,377Jul 2, 2024Updated last year
- Recommender Learning with Tensorflow2.x☆1,983Apr 29, 2022Updated 3 years ago
- A list of awesome papers and resources of recommender system on large language model (LLM).☆2,215Mar 17, 2025Updated 11 months ago
- DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foun…☆1,167Jan 21, 2025Updated last year
- An industrial deep learning framework for high-dimension sparse data☆4,307Sep 25, 2024Updated last year
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆933Nov 15, 2019Updated 6 years ago
- 搜索引擎原理☆1,876Apr 19, 2024Updated last year
- Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.☆1,510Jan 17, 2026Updated last month
- A Deep Learning Recommender System☆2,727Jun 2, 2024Updated last year
- A collection of research and application papers of (uncertainty) calibration techniques.☆344Jan 3, 2024Updated 2 years ago
- Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.☆905Jun 22, 2021Updated 4 years ago
- 该仓库主要记录 推荐系统 算法工程师相关的面试题☆589Sep 23, 2023Updated 2 years ago
- 主流推荐系统Rank算法的实现☆283Oct 25, 2023Updated 2 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☆2,072Dec 17, 2019Updated 6 years ago
- 计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)☆184Feb 18, 2024Updated 2 years ago
- A unified, comprehensive and efficient recommendation library☆4,277Feb 24, 2025Updated last year
- 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☆1,022Jan 20, 2024Updated 2 years ago
- HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling☆590Aug 26, 2025Updated 6 months ago
- ☆1,715Jun 12, 2020Updated 5 years ago
- ☆1,198Mar 6, 2019Updated 6 years ago
- 本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)☆23,265Updated this week