KarypisLab / SLIMLinks
High-performance implementation of SLIM-based approaches for Top-N recommendation
☆113Updated 3 years ago
Alternatives and similar repositories for SLIM
Users that are interested in SLIM are comparing it to the libraries listed below
Sorting:
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆167Updated 3 months ago
- Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation☆291Updated last week
- https://sites.google.com/cornell.edu/recsys2021tutorial☆55Updated 3 years ago
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆389Updated 3 years ago
- Bayesian Personalized Ranking using PyTorch☆139Updated 6 months ago
- matrix factorization in PyTorch☆130Updated 2 years ago
- (Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputatio…☆123Updated 4 months 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
- ☆50Updated 2 years ago
- Implementation of the RecWalk recommendation algorithm☆25Updated 4 months ago
- RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems☆122Updated 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
- Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.☆36Updated 5 years ago
- ☆25Updated 4 years ago
- Microsoft News Dataset☆121Updated 5 years ago
- embarrassingly shallow autoencoder☆68Updated 3 years ago
- A Python/C++ implementation of Bayesian Factorization Machines☆55Updated 2 months ago
- Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"☆178Updated last year
- Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"☆216Updated 2 years ago
- Benchmarking of Session-based Recommendation Approaches☆30Updated 4 years ago
- Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.☆247Updated 6 years ago
- Unbiased Learning To Rank Algorithms (ULTRA)☆95Updated 2 years ago
- ☆35Updated 7 years ago
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆175Updated last year
- Large scale training of factorization models for Collaborative Filtering with PyTorch☆56Updated 2 years ago
- Repository for experiments with MetaProd2Vec and related algorithms.☆59Updated 6 years ago
- Adversarial Learning, Matrix Factorization, Recommendation☆217Updated 6 years ago
- Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "☆138Updated 7 years ago
- ☆63Updated 5 years ago