hoyeoplee / MeLULinks
☆183Updated 6 years ago
Alternatives and similar repositories for MeLU
Users that are interested in MeLU are comparing it to the libraries listed below
Sorting:
- Hierarchical Gating Networks for Sequential Recommendation☆142Updated 4 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆54Updated 5 years ago
- A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆272Updated 4 years ago
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆112Updated 4 years ago
- An unofficial pytorch implementation of MELU☆46Updated last year
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Updated 2 years ago
- A pytorch implementation for BPR (Bayesian Personalized Ranking).☆143Updated 6 years ago
- This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of exist…☆153Updated 4 years ago
- Code for CosRec: 2D Convolutional Neural Networks for Sequential Recommendation (CIKM-19)☆48Updated 5 years ago
- This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)☆107Updated 5 years ago
- An other implementation of GRU4REC using PyTorch☆252Updated 4 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Updated 5 years ago
- A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.☆38Updated 6 years ago
- Bayesian Personalized Ranking using PyTorch☆139Updated 7 months ago
- TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.☆128Updated 5 years ago
- ☆133Updated 7 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Updated 5 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
- ☆74Updated 5 years ago
- Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation☆139Updated 6 years ago
- A toy implementation of Neural Graph Collaborative filtering☆87Updated 5 years ago
- Disentagnled Graph Collaborative Filtering, SIGIR2020☆142Updated 5 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆156Updated last year
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated last year
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆37Updated 4 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- (RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]☆33Updated last year
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 5 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆66Updated 4 years ago