alimama-tech / NeurIPS_Auto_Bidding_AIGB_Track_Baseline
the baseline for NeurIPS_Auto_Bidding_AIGB_Track
☆30Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for NeurIPS_Auto_Bidding_AIGB_Track_Baseline
- Baseline for NeurIPS_Auto_Bidding_General_Track☆24Updated 3 months ago
- QQ浏览器2021AI算法大赛赛道二 第1名 方案. Rank 1st solution to QQ Browser 2021 AI Algorithm Competition (CIKM AnalytiCup 2021) Track 2 Automated Hyperpa…☆26Updated 2 years ago
- Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022☆19Updated 2 years ago
- About Code Release for "On the Embedding Collapse When Scaling Up Recommendation Models" (ICML 2024)☆15Updated 3 months ago
- codes for SORL framework for auto-bidding☆35Updated 2 years ago
- Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising☆27Updated 4 years ago
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆68Updated 4 years ago
- ☆14Updated 3 years ago
- Google多任务模型MMoE☆78Updated 3 years ago
- A Real-World Benchmark for Reinforcement Learning based Recommender System☆220Updated 9 months ago
- ☆17Updated last year
- ☆24Updated 7 months ago
- This is a repository of the experiment code supporting the paper Real-time Bidding Strategy in Display Advertising: An Empirical Analysis…☆26Updated 2 years ago
- Dataset Batch(offline) Reinforcement Learning for recommender system☆147Updated 4 years ago
- 在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowl…☆99Updated this week
- EasyRL: An easy-to-use and comprehensive reinforcement learning package.☆213Updated 2 years ago
- "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580☆53Updated 3 years ago
- Source code of TOIS paper "A Unified Framework for Multi-Domain CTR Prediction via Large Language Models"☆19Updated 3 weeks ago
- some useful papers and blogs for people who are interested in online advertising☆65Updated 2 years ago
- Tutorial for Ray☆13Updated 7 months ago
- This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"☆66Updated 10 months ago
- ☆21Updated 3 months ago
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆44Updated 6 months ago
- PyTorch Implementation of KDD '22 paper: ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning☆20Updated 11 months ago
- code for RIM☆22Updated 2 years ago
- Demo implementation for "A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation".☆48Updated 4 years ago
- A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.☆80Updated 2 years ago
- Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning☆39Updated 4 years ago