haoxuanli-pku / WWW23-Balancing-Unobserved-ConfoundingLinks
☆9Updated last year
Alternatives and similar repositories for WWW23-Balancing-Unobserved-Confounding
Users that are interested in WWW23-Balancing-Unobserved-Confounding are comparing it to the libraries listed below
Sorting:
- This is an implementation for our paper "Addressing Confounding Feature Issue for Causal Recommendation" based on PyTorch.☆16Updated 2 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆88Updated 2 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆28Updated last year
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆18Updated 3 years ago
- ☆23Updated 3 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆59Updated last year
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆18Updated 2 years ago
- A collection of research works about causal inference for recommender systems, including papers and code.☆27Updated 7 months ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆97Updated 7 months ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated 2 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆40Updated 3 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆155Updated last year
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 4 years ago
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆30Updated last month
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Updated 2 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆519Updated 2 years ago
- A list of Graph Causal Learning materials.☆199Updated 6 months ago
- Counterfactual Regression☆25Updated 9 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆34Updated 11 months ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆105Updated 2 years ago
- ☆58Updated 3 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- Source codes and Datasets for EDDA in CIKM'23☆19Updated last year
- Improving Recommendation Fairness via Data Augmentation-WWW23☆13Updated 2 years ago
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16Updated 3 years ago
- This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.☆25Updated 2 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆161Updated 7 months ago
- [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation☆67Updated 2 years ago
- ☆28Updated 2 years ago