RyanWangZf / CVIB-Rec
Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
☆27Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for CVIB-Rec
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 2 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆24Updated last year
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆29Updated last year
- Adaptive Denoising Training (ADT) for Recommendation.☆67Updated 2 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- Counterfactual Explainable Recommendation☆48Updated 2 years ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆21Updated 2 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆32Updated 3 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- ☆21Updated last year
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆34Updated last year
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 4 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆61Updated last year
- code for ‘Towards Long-term Fairness in Recommendation’☆24Updated last year
- Faithfully Explainable Recommendation via Neural Logic Reasoning☆15Updated 3 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆32Updated 3 years ago
- ☆20Updated 4 years ago
- Neural Collaborative Reasoning☆30Updated 3 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 4 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆22Updated 4 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆32Updated 2 years ago
- This repository contains PyTorch implemenation of WWW 2023 research paper: Optimizing Feature Set for Click-through Rate Prediction.☆10Updated last year
- Offical Code for "PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation."☆12Updated 2 years ago
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated last year
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆18Updated 2 years ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 4 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆22Updated 2 years ago