jerryhao66 / AutoWeakSLinks
Data and Code for Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach
☆17Updated 4 years ago
Alternatives and similar repositories for AutoWeakS
Users that are interested in AutoWeakS are comparing it to the libraries listed below
Sorting:
- Using SR-GNN to implement "NISER: Normalized Item and Session Representations to Handle Popularity Bias"☆25Updated 4 years ago
- [DASFAA22] Official PyTorch implementation for "Leveraging Search History for Improving Person-Job Fit".☆11Updated 3 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Updated 4 years ago
- RecSys 2022 Tutorial Hands on Explainable Recommender Systems with Knowledge Graphs☆51Updated last year
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆36Updated 5 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- ☆10Updated 4 years ago
- ACM UMAP2020 Hands-on Tutorial on Data and Algorithmic Bias in Recommender Systems☆10Updated 4 years ago
- Personalized Hashtag Recommendation for Micro-videos, ACM MM2019☆26Updated 5 years ago
- In this project, we will revisit the problem central to recommender systems: predicting a user’s preference for some item they have not y…☆25Updated 8 years ago
- PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.☆146Updated 4 years ago
- Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21☆34Updated 2 years ago
- ☆60Updated 3 years ago
- Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs☆35Updated last year
- DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning…☆16Updated last year
- A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)☆198Updated last year
- Official code for the paper "Leveraging the Metapath and Entity Aware Subgraphs for Recommendation"☆40Updated 3 years ago
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆45Updated last year
- Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020☆139Updated 2 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆84Updated last year
- Code to reproduce paper "Exploring Longitudinal Effects of Session-based Recommendations" in RecSys 2020☆15Updated 2 years ago
- Code for our CIKM 2020 paper "Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network"☆33Updated 2 years ago
- The source code for "Recommender Systems with Heterogeneous Side Information", WWW 2019.☆28Updated 5 years ago
- Contrastive Learning for Cold-start Recommendation☆71Updated 3 years ago
- Pre-training and Transfer learning papers for recommendation☆18Updated last year
- Bayesian Personalized Ranking using PyTorch☆139Updated 6 months ago
- About Next Basket Recommendations Based on Neural Network.☆48Updated 5 years ago
- ☆60Updated last year
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆167Updated 4 months ago