WenjieWWJ / DenoisingRec
Adaptive Denoising Training (ADT) for Recommendation.
☆71Updated 3 years ago
Alternatives and similar repositories for DenoisingRec:
Users that are interested in DenoisingRec are comparing it to the libraries listed below
- Counterfactual Explainable Recommendation☆47Updated 3 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆43Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated 9 months ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆104Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆67Updated 2 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- PyTorch implementation GRU4Rec model☆15Updated 5 years ago
- implementation code for 'PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations' in SIGIR 2023☆14Updated 7 months ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- ☆47Updated 7 months ago
- Contrastive Learning for Cold-start Recommendation☆66Updated 3 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆22Updated 3 months ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆49Updated 4 years ago
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆104Updated 3 years ago
- Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"☆28Updated 2 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆64Updated last year
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated last year
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆52Updated 4 years ago
- The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"☆44Updated 3 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆24Updated 4 years ago
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆18Updated last year
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆38Updated 3 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 2 years ago
- ☆49Updated 9 months ago