noveens / infinite_ae_cf
[ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution and a single hyper-parameter.
☆54Updated last year
Alternatives and similar repositories for infinite_ae_cf:
Users that are interested in infinite_ae_cf are comparing it to the libraries listed below
- [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.☆22Updated last year
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 5 years ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆52Updated 2 years ago
- ☆24Updated 3 years ago
- embarrassingly shallow autoencoder☆67Updated 2 years ago
- Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch☆35Updated last year
- ☆12Updated 4 years ago
- Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.☆36Updated 4 years ago
- ☆16Updated 2 years ago
- ☆18Updated 2 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆23Updated last year
- Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.☆25Updated 5 years ago
- Benchmarking of Session-based Recommendation Approaches☆30Updated 4 years ago
- ☆32Updated 2 years ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆51Updated 2 years ago
- ☆49Updated last year
- ☆46Updated 11 months ago
- SANSA - sparse EASE for millions of items☆40Updated 3 weeks ago
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆48Updated 3 years ago
- ☆12Updated 2 years ago
- Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"☆22Updated 2 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
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆164Updated last week
- High-performance implementation of SLIM-based approaches for Top-N recommendation☆110Updated 3 years ago
- ☆61Updated 4 months ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆21Updated last year
- ☆58Updated 9 months ago
- ☆34Updated 6 years ago
- An efficient PyTorch implementation of the evaluation metrics in recommender systems.☆27Updated last year