BokwaiHo / revenue_upliftLinks
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)
☆28Updated last year
Alternatives and similar repositories for revenue_uplift
Users that are interested in revenue_uplift are comparing it to the libraries listed below
Sorting:
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆74Updated last year
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆97Updated last year
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆14Updated last year
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆56Updated last year
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆88Updated last year
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆35Updated 3 years ago
- The real-world Production Dataset from E-commerce platform Meituan☆28Updated last year
- ☆259Updated last year
- 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…☆231Updated 2 years ago
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆138Updated 4 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆328Updated 2 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆156Updated last year
- multi task mode for esmm and mmoe☆150Updated 4 years ago
- The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Scie…☆36Updated 2 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆105Updated 2 years ago
- ☆20Updated last year
- Share Some Recommender System Paper I read.☆69Updated 4 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆164Updated 7 months ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 5 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated last year
- 🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】☆145Updated 2 years ago
- PyTorch implementation of Entire Space Multitask Model (ESMM)☆39Updated 3 years ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆53Updated last year
- ☆107Updated 3 months 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）☆269Updated 3 months ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆260Updated 4 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆60Updated last year
- ☆28Updated 2 years ago
- ☆28Updated 3 months ago