zyang1580 / SMLLinks
This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.
☆46Updated 2 years ago
Alternatives and similar repositories for SML
Users that are interested in SML are comparing it to the libraries listed below
Sorting:
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆84Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Updated 2 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆25Updated 5 years ago
- An unofficial pytorch implementation of MELU☆46Updated last year
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆54Updated 5 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆49Updated 2 years ago
- Contrastive Learning for Cold-start Recommendation☆71Updated 3 years ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆33Updated 4 years ago
- ☆182Updated 6 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 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
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- ☆41Updated 6 years ago
- A curator of Sequential Recommendation algorithms☆20Updated 5 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆36Updated 5 years ago
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 4 years ago
- This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)☆107Updated 5 years ago
- This repo includes some graph-based CTR prediction models and other representative baselines.☆69Updated last year
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range…☆12Updated 6 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆114Updated 3 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