chrisjtan / counterLinks
Counterfactual Explainable Recommendation
☆50Updated 4 years ago
Alternatives and similar repositories for counter
Users that are interested in counter are comparing it to the libraries listed below
Sorting:
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆32Updated 10 months ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- Sentires: A Toolkit for Phrase-level Sentiment Analysis☆53Updated 4 years ago
- A quick guide to Sentires: Phrase-level Sentiment Analysis toolkit, SIGIR'14☆37Updated 10 months ago
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated 2 years ago
- User-oriented Fairness in Recommendation☆28Updated 4 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆107Updated 2 years ago
- ACL'21 Oral, Personalized Transformer for Explainable Recommendation☆94Updated 10 months ago
- Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")☆18Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆26Updated 2 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆34Updated 4 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆84Updated 3 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆51Updated 4 years ago
- TOIS'23, Personalized Prompt Learning for Explainable Recommendation☆131Updated 10 months ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Updated 10 months ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated 2 years ago
- Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)☆45Updated 4 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆45Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆70Updated 3 years ago
- ☆63Updated 2 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆43Updated 3 years ago
- ☆33Updated 3 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆37Updated last year
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆115Updated 4 years ago
- A link to repositories with datasets useful for recommendation tasks☆23Updated 2 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 4 years ago