主流推荐系统Rank算法的实现
☆286Oct 25, 2023Updated 2 years ago
Alternatives and similar repositories for RecAlgorithm
Users that are interested in RecAlgorithm 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.☆2,079Dec 4, 2025Updated 3 months ago
- TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset☆216Oct 21, 2021Updated 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…☆255May 26, 2023Updated 2 years ago
- 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）☆4,309Updated this week
- ☆31Sep 3, 2023Updated 2 years ago
- 存放推荐算法相关代码、文档、资料☆259Dec 24, 2020Updated 5 years ago
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,375Jun 16, 2025Updated 9 months ago
- 该仓库尝试整理推荐系统领域的一些经典算法模型☆2,157Oct 15, 2023Updated 2 years ago
- A framework for large scale recommendation algorithms.☆2,296Dec 19, 2025Updated 3 months ago
- 微信视频号推荐比赛相关☆10Nov 4, 2021Updated 4 years ago
- This project is about recommendation system including rank&match models and metrics which are all implemented by `tensorflow 2.x`.☆69May 7, 2025Updated 10 months 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☆684Mar 14, 2022Updated 4 years ago
- ☆3,946Feb 7, 2024Updated 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/…☆951Updated this week
- Code for 'Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation' accepted to WSDM 2024☆13Aug 1, 2025Updated 7 months 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☆1,808Dec 24, 2022Updated 3 years ago
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆95Oct 10, 2025Updated 5 months ago
- 推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/☆6,839Updated this week
- Paper阅读记录博客（基于GitHub Action和GitHub Issue实现）。☆59Sep 19, 2025Updated 6 months ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,417Apr 26, 2025Updated 10 months ago
- pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations"☆57Aug 9, 2024Updated last year
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,007Aug 9, 2024Updated last year
- Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ran…☆2,387Feb 28, 2026Updated 2 weeks ago
- ☆53Aug 11, 2021Updated 4 years ago
- ☆218Mar 15, 2025Updated last year
- HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling☆600Aug 26, 2025Updated 6 months ago
- 基于ESMM、MMoE和deepFM的多目标模型☆29Feb 19, 2022Updated 4 years ago
- multi task mode for esmm and mmoe☆158Jul 22, 2021Updated 4 years ago
- Classic papers and resources on recommendation☆3,517Oct 16, 2025Updated 5 months ago
- ☆1,716Jun 12, 2020Updated 5 years ago
- This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by …☆28Nov 5, 2022Updated 3 years ago
- ☆45Sep 26, 2025Updated 5 months ago
- All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等☆486May 7, 2025Updated 10 months ago
- 推荐系统综述☆538Mar 30, 2023Updated 2 years ago
- ☆35Nov 3, 2022Updated 3 years ago
- 微信大数据赛初赛10th，复赛14th☆33Sep 1, 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☆592Sep 23, 2023Updated 2 years ago
- [KDD'25] Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation☆18Jan 7, 2025Updated last year
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆227Aug 22, 2021Updated 4 years ago