salesforce / RGRecSysLinks
☆18Updated 7 months ago
Alternatives and similar repositories for RGRecSys
Users that are interested in RGRecSys are comparing it to the libraries listed below
Sorting:
- Pre-training and Transfer learning papers for recommendation☆18Updated last year
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 4 years ago
- ☆12Updated 5 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated 3 years ago
- ☆32Updated 3 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
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 6 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 4 years ago
- ☆29Updated 4 years ago
- Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.☆15Updated 4 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆41Updated 2 years ago
- SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments☆28Updated 7 years ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆54Updated 3 years ago
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆171Updated 2 months ago
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 4 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 4 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
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Updated 3 years ago
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆48Updated 4 years ago
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆14Updated 2 years ago
- AutoLossGen: Automatic Loss Function Generation for Recommender Systems☆22Updated 3 years ago
- ☆60Updated last year
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 4 years ago
- ☆25Updated 4 years ago
- ☆14Updated 11 months ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 3 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Updated 4 years ago
- The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"☆119Updated last year
- Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch☆35Updated 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