TrWestdoor / recommendationLinks
Recommend System
☆29Updated 5 years ago
Alternatives and similar repositories for recommendation
Users that are interested in recommendation are comparing it to the libraries listed below
Sorting:
- 推荐系统实战☆33Updated 5 years ago
- 推荐系统竞赛TOP开源解决方案汇总。☆256Updated 3 years ago
- 自己学习推荐系统过程中用到的代码☆50Updated 5 years ago
- 存放推荐算法相关代码、文档、资料☆249Updated 4 years ago
- 推荐系统从入门到实战☆168Updated 3 years ago
- 推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/☆289Updated 4 years ago
- LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入,方便实际场景应用。☆104Updated 5 years ago
- 推荐系统排序模型复现☆47Updated 4 years ago
- 2020腾讯广告算法大赛 Top5 solution. https://algo.qq.com/☆82Updated 4 years ago
- ☆172Updated 4 years ago
- Solution to the Debiasing Track of KDD CUP 2020☆160Updated 2 years ago
- 2018科大讯飞营销算法大赛(冠军方案)☆94Updated 5 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆103Updated 7 years ago
- 1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation☆233Updated last year
- Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.☆92Updated 5 years ago
- 基于科大讯飞AI营销算法比赛实现CTR深度学习方法☆47Updated 6 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 5 years ago
- CTR模型代码和学习笔记总结☆388Updated 3 years ago
- gbdt+lr☆161Updated 6 years ago
- 《推荐系统开发实战》代码及勘误☆60Updated 5 years ago
- 华为digix算法大赛2020机器学习赛道-ctr预估初赛/决赛rank1☆136Updated 4 years ago
- ☆215Updated 4 years ago
- 推荐系统之深度学习模型,框架采用tensorflow2☆58Updated 3 years ago
- ICME2019&字节跳动 短视频内容理解与推荐竞赛rank14方案☆55Updated 3 years ago
- KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13☆65Updated 4 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated 10 months ago
- 阅读过的推荐系统论文的归类总结,持续更新中…☆378Updated 6 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆116Updated 6 years ago
- Sharing the CTR Prediction original paper and personal study notes☆146Updated 5 years ago
- Share Some Recommender System Paper I read.☆68Updated 3 years ago