zyang1580 / SML
This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.
☆45Updated last year
Alternatives and similar repositories for SML:
Users that are interested in SML are comparing it to the libraries listed below
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆52Updated 4 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆34Updated 3 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆42Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆24Updated 4 years ago
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆29Updated 2 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- Contrastive Learning for Cold-start Recommendation☆66Updated 3 years ago
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆46Updated last year
- An unofficial pytorch implementation of MELU☆45Updated 8 months ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 4 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆82Updated 11 months ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆104Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆106Updated 2 years ago
- [SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"☆54Updated 11 months ago
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆58Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated last year
- ☆41Updated 5 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 4 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated 8 months ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆65Updated 4 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆103Updated 3 years ago
- ☆22Updated 2 years ago