dongmanqing / Code-for-MAMO
The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
☆53Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Code-for-MAMO
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆38Updated 4 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆96Updated last year
- ☆32Updated 2 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆82Updated 6 months ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆22Updated 4 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆60Updated 3 years ago
- source code for “Preference-Adaptive Meta-Learning for Cold-Start Recommendation” (IJCAI 2021)☆16Updated 2 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆74Updated 3 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated last year
- An unofficial pytorch implementation of MELU☆44Updated 3 months ago
- Adaptive Denoising Training (ADT) for Recommendation.☆67Updated 2 years ago
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆45Updated last year
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆32Updated 3 years ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆36Updated 3 years ago
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆58Updated 3 years ago
- ☆23Updated 2 years ago
- [SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"☆53Updated 6 months ago
- Temporal Hierarchical Attention at Category- and Item-Level for Micro-Video Click-Through Prediction☆29Updated 3 years ago
- ☆34Updated 3 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆34Updated 3 months ago
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆42Updated 7 months ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆77Updated last year
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆150Updated 5 months ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆33Updated 3 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), whi…☆133Updated last year
- ☆20Updated 4 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆27Updated 2 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆50Updated 3 years ago