YunWGui / RecSys-Book-NotesLinks
推荐系统读书笔记、思维导图等
☆40Updated 2 years ago
Alternatives and similar repositories for RecSys-Book-Notes
Users that are interested in RecSys-Book-Notes are comparing it to the libraries listed below
Sorting:
- ☆106Updated 2 years ago
- 1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation☆234Updated 2 months 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。☆105Updated 5 years ago
- 机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现☆68Updated 3 years ago
- Solution to the Debiasing Track of KDD CUP 2020☆160Updated 2 years ago
- ☆173Updated 5 years ago
- Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.☆91Updated 5 years ago
- DeepFM for CTR prediction problem (pytorch 1.0)☆73Updated 6 years ago
- 6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System☆163Updated last year
- Common Model about DeepCTR(WideDeep,DeepFM, DCN, XdeepFM)☆32Updated last year
- KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13☆67Updated 5 years ago
- 2020腾讯广告算法大赛 Top5 solution. https://algo.qq.com/☆84Updated 5 years ago
- 一些CTR模型和常见特征工程的方法☆26Updated 4 years ago
- Deep Feedback Network for Recommendation☆96Updated 5 years ago
- ICME2019&字节跳动 短视频内容理解与推荐竞赛rank14方案☆56Updated 4 years ago
- ☆212Updated 9 months ago
- Easy-to-use pytorch-based framework for RecSys models☆40Updated 5 years ago
- 短视频内容理解与推荐竞赛☆84Updated 5 years ago
- Must-read papers on Recommender System. 推荐系统相关论文整理(内含40篇论文,并持续更新中)☆91Updated 6 years ago
- 华为_DigiX_算法精英大赛——人口年龄属性预测_ Rank14 方案☆31Updated 6 years ago
- rater, recommender systems. 推荐模 型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。☆45Updated 5 years ago
- 看山杯 专家发现算法大赛 baseline 0.701741036192302(没有五折验证)☆37Updated 6 years ago
- The Code for ICME2019 Grand Challenge: Short Video Understanding (Single Model Ranks 6th)☆91Updated 6 years ago
- 推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/☆293Updated 4 years ago
- 推荐系统从入门到实战☆166Updated 3 years ago
- 推荐系统实战☆34Updated 5 years ago
- 简单的实现推荐系统的召回模型和排序模型,其中召回模型使用协同过滤算法,排序模型使用gbdt+lr算法☆58Updated 6 years ago
- ☆218Updated 5 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- ☆46Updated 5 years ago