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:
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆29Updated last year
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆94Updated 4 months ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆87Updated last year
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆107Updated 2 years ago
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆82Updated 2 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆123Updated 2 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆227Updated 4 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 4 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆342Updated 3 weeks ago
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆19Updated last year
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆306Updated 4 years ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆75Updated 6 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.)☆184Updated last year
- 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
- 主流推荐系统Rank算法的实现☆282Updated 2 years ago
- SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling☆46Updated 2 years ago
- Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations☆72Updated 3 months ago
- some useful papers and blogs for people who are interested in online advertising☆76Updated 3 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆401Updated 4 years ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆38Updated 4 years ago
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆82Updated last year
- This project is about recommendation system including rank&match models and metrics which are all implemented by `tensorflow 2.x`.☆68Updated 9 months ago
- the baseline for NeurIPS_Auto_Bidding_AIGB_Track☆88Updated last year
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆255Updated 5 years ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆267Updated 3 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 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）☆274Updated 9 months ago
- ☆291Updated 6 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆386Updated last year
- A collection of research and application papers of (uncertainty) calibration techniques.☆344Updated 2 years ago