MTDJDSP / MT-LIFTLinks
The real-world Production Dataset from E-commerce platform Meituan
☆24Updated 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:
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆25Updated last year
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆113Updated last year
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆89Updated last year
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 3 years ago
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆84Updated last year
- 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…☆133Updated last week
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 3 years ago
- ☆49Updated 6 months ago
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆54Updated 10 months ago
- Deep Feedback Network for Recommendation☆94Updated 4 years ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆68Updated 10 months ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆34Updated 3 years ago
- PyTorch implementation of Entire Space Multitask Model (ESMM)☆38Updated 3 years ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 5 years ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆52Updated last year
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆114Updated 4 years ago
- The code of CL4CTR☆48Updated last year
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆155Updated 5 months ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆56Updated 3 years ago
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆14Updated last year
- This is the source codes of Recsys 2023 paper "Interpretable User Retention Modeling in Recommendation"☆23Updated last year
- The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Scie…☆35Updated last year
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆80Updated 5 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- ☆31Updated last year
- DHAN code for SIGIR 2020☆46Updated 5 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆103Updated 2 years ago
- ☆20Updated 4 years ago
- This project is about recommendation system including rank&match models and metrics which are all implemented by `tensorflow 2.x`.☆47Updated last month
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆78Updated last year