evfro / HyperbolicRecommenders
Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.
☆36Updated 4 years ago
Alternatives and similar repositories for HyperbolicRecommenders:
Users that are interested in HyperbolicRecommenders are comparing it to the libraries listed below
- Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.☆25Updated 5 years ago
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 3 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆35Updated 5 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆22Updated last year
- ☆12Updated 4 years ago
- ☆22Updated 2 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 5 years ago
- Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms☆44Updated 5 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 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 last year
- ☆70Updated 5 years ago
- Implementation of the RecWalk recommendation algorithm☆24Updated 6 years ago
- Scalable Recommendation Algorithms☆33Updated 5 years ago
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 5 years ago
- ☆16Updated 4 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- Benchmarking of Session-based Recommendation Approaches☆30Updated 4 years ago
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆12Updated 2 years ago
- ☆25Updated 3 years ago
- ☆17Updated 4 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆29Updated 4 years ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 4 years ago
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 3 years ago
- Code for the RecSys'20 paper "TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations"☆19Updated 4 years ago
- Improving Collaborative Metric Learning for Recommendation by a 2-stage negative sampling strategy.☆16Updated 5 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆24Updated 2 years ago
- High-performance implementation of SLIM-based approaches for Top-N recommendation☆110Updated 3 years ago
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆48Updated 3 years ago