MTDJDSP / MT-LIFTLinks
The real-world Production Dataset from E-commerce platform Meituan
☆30Updated last year
Alternatives and similar repositories for MT-LIFT
Users that are interested in MT-LIFT are comparing it to the libraries listed below
Sorting:
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆87Updated last year
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆30Updated last year
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆94Updated 3 months ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆104Updated 2 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆120Updated 2 years ago
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆19Updated last year
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆227Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆307Updated 4 years ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 6 years ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆37Updated 3 years ago
- CTR模型代码和学习笔记总结☆396Updated 4 years ago
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆81Updated last year
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆340Updated 3 years ago
- This is the source codes of Recsys 2023 paper "Interpretable User Retention Modeling in Recommendation"☆25Updated last year
- ☆21Updated 4 years ago
- This project is about recommendation system including rank&match models and metrics which are all implemented by `tensorflow 2.x`.☆68Updated 8 months ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 4 years ago
- 一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)☆273Updated 8 months 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…☆221Updated this week
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆81Updated 2 years ago
- ☆285Updated last year
- A PyTorch implementation of DeepFM for CTR prediction problem.☆402Updated 4 years ago
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆61Updated last year
- Share Some Recommender System Paper I read.☆70Updated 4 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆114Updated 5 years ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆55Updated 2 years ago
- some useful papers and blogs for people who are interested in online advertising☆76Updated 3 years ago
- 推荐系统论文算法实现,包括序列推荐,多任务学习,元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…☆251Updated 2 years ago
- 计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)☆181Updated last year
- 存放推荐算法相关代码、文档、资料☆258Updated 5 years ago