hasteck / EDLAE_NeurIPS2020Links
☆12Updated 5 years ago
Alternatives and similar repositories for EDLAE_NeurIPS2020
Users that are interested in EDLAE_NeurIPS2020 are comparing it to the libraries listed below
Sorting:
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 3 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 4 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"☆118Updated last year
- Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems☆10Updated 2 years ago
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆14Updated 2 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆41Updated 2 years ago
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 3 years ago
- This is the official code for the WSDM 2022 paper: 'S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks'.☆33Updated 2 years ago
- [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…☆55Updated 2 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆25Updated 2 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated 2 years ago
- This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"☆33Updated 2 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 6 years ago
- Contrastive Learning for Cold-start Recommendation☆72Updated 4 years ago
- Using SR-GNN to implement "NISER: Normalized Item and Session Representations to Handle Popularity Bias"☆25Updated 5 years ago
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 4 years ago
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆48Updated 4 years ago
- Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch☆36Updated 2 years ago
- ☆60Updated last year
- Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.☆36Updated 5 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆36Updated 5 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated 2 years ago
- Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms☆46Updated 6 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated 2 years ago
- ☆18Updated 4 months ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆45Updated last year
- DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning…☆16Updated last year
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago