High-performance implementation of SLIM-based approaches for Top-N recommendation
☆114Dec 24, 2021Updated 4 years ago
Alternatives and similar repositories for SLIM
Users that are interested in SLIM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch Flexible Hash Embeddings☆29Feb 4, 2020Updated 6 years ago
- Implementation of the RecWalk recommendation algorithm☆25May 17, 2025Updated last year
- ☆10Nov 17, 2014Updated 11 years ago
- Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python☆16Jan 7, 2018Updated 8 years ago
- Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch☆133Aug 24, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Toy implementation of SLIM and SSLIM Recommendation methods.☆41May 23, 2018Updated 7 years ago
- Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy …☆256Sep 4, 2025Updated 8 months ago
- A recommender systems development and evaluation package by Mendeley☆567Nov 9, 2022Updated 3 years ago
- rrecsys: Environment for Assessing Recommender Systems☆23May 15, 2022Updated 4 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Jan 13, 2022Updated 4 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25May 13, 2019Updated 7 years ago
- Repository for ICLR'23 Long-tailed Learning Requires Feature Learning☆10Feb 22, 2023Updated 3 years ago
- ⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to…☆362Oct 1, 2024Updated last year
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆14Jul 22, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆51Jan 3, 2021Updated 5 years ago
- Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)☆46Jul 13, 2021Updated 4 years ago
- Ranking-Critical Training for Collaborative Filtering☆36Jun 17, 2024Updated last year
- A tour through recommendation algorithms in python [IN PROGRESS]☆178Dec 26, 2024Updated last year
- 🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.☆42May 16, 2022Updated 4 years ago
- Personalized Item Exploration Processes for Recommendation☆15Sep 19, 2019Updated 6 years ago
- This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural …☆986May 25, 2023Updated 2 years ago
- Factoried Personalized Markov Chains for Next Basket Recommendation in R and Python☆14Jan 7, 2018Updated 8 years ago
- Python implementation of "Content-based recommendations with poisson factorization", with some extensions☆30Jul 30, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Accelerated Confergence for Counterfactual Learning to Rank☆17Jan 21, 2022Updated 4 years ago
- Creating a hybrid recommender system using LightFM. Learn how to tackle the cold start problem.☆13Feb 14, 2022Updated 4 years ago
- Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…☆550Aug 8, 2024Updated last year
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆174Aug 14, 2024Updated last year
- (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)☆47May 9, 2025Updated last year
- [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.☆23Jun 8, 2023Updated 2 years ago
- ☆12May 2, 2022Updated 4 years ago
- Introduction Notebook to Extreme Multi-Label Classification problem (XML)☆22Sep 9, 2018Updated 7 years ago
- Fast Python Collaborative Filtering for Implicit Feedback Datasets☆3,784May 8, 2026Updated last week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"☆24Feb 25, 2022Updated 4 years ago
- Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335☆55Oct 19, 2015Updated 10 years ago
- Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf☆158Jan 27, 2015Updated 11 years ago
- From the medium article about Customer Retention☆11Nov 20, 2019Updated 6 years ago
- ☆12Feb 29, 2020Updated 6 years ago
- Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "☆139Dec 16, 2017Updated 8 years ago
- Summaries and notes on CounterFactual Machine Learning papers☆19Dec 13, 2018Updated 7 years ago