challenge-ICME2019-Bytedance / Bytedance_ICME_challenge
☆261Updated 6 years ago
Alternatives and similar repositories for Bytedance_ICME_challenge:
Users that are interested in Bytedance_ICME_challenge are comparing it to the libraries listed below
- Bytedance_ICME2019_challenge_baseline☆144Updated 2 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆235Updated 5 years ago
- 字节跳动短视频内容理解和推荐 Track2 Top8☆280Updated 5 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆168Updated 3 years ago
- ☆201Updated 6 years ago
- Classical RecSys algorithms implemented by using TensorFlow Estimators☆183Updated 6 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆215Updated 3 years ago
- This repository maintains codes for tencent advertisement algorithm competition 2018. Our codes ranked the 3rd place in the final round.☆289Updated 6 years ago
- Implement Wide & Deep algorithm by using NumPy☆151Updated 6 years ago
- The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.☆308Updated 6 years ago
- A simple DeepFM.☆101Updated 6 years ago
- 数据科学竞赛实战☆165Updated last year
- This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。☆358Updated 5 years ago
- ☆286Updated 5 years ago
- Wide and Deep Learning for CTR Prediction in tensorflow☆289Updated 3 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆116Updated 5 years ago
- ☆171Updated 4 years ago
- report reading paper list☆92Updated 5 years ago
- 易观性别年龄预测第一名解决方案☆171Updated 5 years ago
- The Code for ICME2019 Grand Challenge: Short Video Understanding (Single Model Ranks 6th)☆89Updated 5 years ago
- ☆391Updated 2 years ago
- ☆214Updated 4 years ago
- ijcai-2018 top1 solution☆437Updated 6 years ago
- ☆91Updated 7 years ago
- DeepFM for CTR prediction problem (pytorch 1.0)☆70Updated 5 years ago
- 第二届腾讯广告算法大赛(Rank 9) http://algo.tpai.qq.com/home/rankinglist/rankingList☆105Updated 6 years ago
- 推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/☆289Updated 3 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆437Updated last year
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆130Updated 5 years ago
- 基于深度学习的CTR预估,从FM推演各深度学习CTR预估模型(附代码)☆208Updated 6 years ago