364146673 / adx
github upload file
☆16Updated 8 years ago
Alternatives and similar repositories for adx:
Users that are interested in adx are comparing it to the libraries listed below
- ☆15Updated 6 years ago
- codes collection for ML/DL/RL/BigData projects☆22Updated 6 years ago
- 计算广告学习笔记☆24Updated 3 years ago
- top8 KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall☆37Updated 2 years ago
- implementation of factorization machine, support classification.☆19Updated 6 years ago
- papers we read about Recommendation Advertising & Search☆30Updated 4 years ago
- Bytedance ICME2019☆12Updated 5 years ago
- ‘京东杯’《用户对品类下的购买预测》-冠军团队‘AI你所想’解决方案☆25Updated 5 years ago
- DataFountain第五届达观杯第4名方案☆12Updated 3 years ago
- This project contains several Deep Reinforcement Learning method and some experiments basd on OpenAi gym.☆19Updated 7 years ago
- Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…☆19Updated 5 years ago
- 人人都能看懂的轻量级解决方案☆15Updated 4 years ago
- Contextual Recommendation Implementation for Research Purposes☆19Updated 7 months ago
- CIKM 2019 E-Commerce AI Challenge - 超大规模推荐之用户兴趣高效检索☆11Updated 3 years ago
- code for 2019 bytedance icme☆15Updated 6 years ago
- ☆12Updated 6 years ago
- ☆36Updated 4 years ago
- convert DataFrame to libffm data format in parallel☆30Updated 6 years ago
- This is a group project for E-commerce repeat buyers purchase prediction using machine learning while accounting for imbalance outcome fo…☆12Updated 4 years ago
- A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)☆25Updated last year
- Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "☆16Updated 6 years ago
- Kaggle elo competition top gold medal solution☆13Updated 5 years ago
- 阿里巴巴ESMM模型解读☆41Updated 4 years ago
- 高校计算机大赛 快手活跃用户预测 最终rank15☆11Updated 6 years ago
- ☆11Updated 2 years ago
- 计算广告召回&模型&创意算法(A collection of research and application papers about Match, Ranking, Targeting and Creatives in Internet advertising.)☆16Updated last year
- 蚂蚁金服-用户精确定位比赛☆12Updated 7 years ago
- 推荐系统相关模型 包括召回和排序☆29Updated 4 years ago
- 主要解决ctr预估工程中的特征选择，特征编号(特征离散),单特征auc和logloss这3个问题.☆20Updated 7 years ago
- Experiment results using FM, FFM and DeepFM algorithms in Criteo Display Advertising Challenge(https://www.kaggle.com/c/criteo-display-ad…☆13Updated 4 years ago