evfro / HyperbolicRecommendersLinks
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
Sorting:
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 4 years ago
- High-performance implementation of SLIM-based approaches for Top-N recommendation☆112Updated 3 years ago
- rectorch is a pytorch-based framework for state-of-the-art top-N recommendation☆151Updated 4 years ago
- Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.☆25Updated 6 years ago
- matrix factorization in PyTorch☆130Updated 2 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 3 years ago
- The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"☆117Updated last year
- Code for the RecSys'20 paper "TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations"☆19Updated 4 years ago
- ☆21Updated 3 years ago
- Scalable Recommendation Algorithms☆35Updated 5 years ago
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆168Updated last month
- ☆12Updated 4 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆35Updated 5 years ago
- Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms☆46Updated 5 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
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Updated 5 years ago
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 3 years ago
- Benchmarking of Session-based Recommendation Approaches☆30Updated 4 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆23Updated 2 years ago
- This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spo…☆34Updated 3 years ago
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 5 years ago
- Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems☆30Updated 5 years ago
- Ranking-Critical Training for Collaborative Filtering☆36Updated last year
- About Next Basket Recommendations Based on Neural Network.☆48Updated 4 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 6 years ago
- Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Brian…☆51Updated 3 years ago
- embarrassingly shallow autoencoder☆68Updated 3 years ago
- models for grocery shopping behavior (Wan et al, CIKM'18, Wan et al, WWW'17)☆53Updated 6 years ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆54Updated 2 years ago