zealscott / Causality4Rec_PaperlistLinks
This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
☆16Updated 3 years ago
Alternatives and similar repositories for Causality4Rec_Paperlist
Users that are interested in Causality4Rec_Paperlist are comparing it to the libraries listed below
Sorting:
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Updated 4 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Updated 3 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- Counterfactual Explainable Recommendation☆50Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆77Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆26Updated 2 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆63Updated last year
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 3 years ago
- Explainable recommendation via interpretable feature mapping☆19Updated 5 years ago
- This repo includes some graph-based CTR prediction models and other representative baselines.☆69Updated last year
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆107Updated 2 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆157Updated last year
- ☆47Updated 3 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 3 years ago
- ☆100Updated 3 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- ☆33Updated 4 years ago
- ☆27Updated 2 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆41Updated 2 years ago
- ☆25Updated 3 years ago
- ☆41Updated 6 years ago
- A link to repositories with datasets useful for recommendation tasks☆23Updated 2 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Updated 2 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 4 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆34Updated 4 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Updated 3 years ago
- This repository collects 100 papers related to negative sampling methods.☆195Updated 2 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year