Ethan00Si / Instrumental-variables-for-recommendationLinks
The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"
☆31Updated 2 years ago
Alternatives and similar repositories for Instrumental-variables-for-recommendation
Users that are interested in Instrumental-variables-for-recommendation are comparing it to the libraries listed below
Sorting:
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆105Updated 2 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 4 years ago
- ☆60Updated last year
- ☆33Updated 3 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆40Updated 3 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆59Updated last year
- Counterfactual Explainable Recommendation☆48Updated 3 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 2 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆68Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆72Updated 3 years ago
- Sentires: A Toolkit for Phrase-level Sentiment Analysis☆52Updated 3 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆155Updated last year
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆64Updated last year
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆29Updated 4 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 3 years ago
- PyTorch Implementation of Query-Aware Sequential Recommendation (CIKM'22)☆12Updated 2 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 9 months ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆44Updated last year
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 3 years ago
- This is the official implementation of the paper "Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Lea…☆18Updated 7 months ago
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated last year
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated last year
- Pytorch implementation of the paper "Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers".☆12Updated 2 years ago