ACMRecSys / recsys-evaluation-frameworksLinks
A link to frameworks useful for the evaluation and reproducibility of recorecommendation algorithms
☆60Updated 11 months ago
Alternatives and similar repositories for recsys-evaluation-frameworks
Users that are interested in recsys-evaluation-frameworks are comparing it to the libraries listed below
Sorting:
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆167Updated 3 months ago
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆389Updated 3 years ago
- Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation☆291Updated last week
- ☆128Updated 2 years ago
- ☆25Updated 4 years ago
- Context and Attribute-Aware Sequential Recommendation via Cross-Attention, RecSys 2022☆66Updated 2 years ago
- PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.☆146Updated 4 years ago
- embarrassingly shallow autoencoder☆68Updated 3 years ago
- Benchmarking of Session-based Recommendation Approaches☆30Updated 4 years ago
- Official implementation of the GRU4Rec algorithm in PyTorch☆67Updated 2 years ago
- ⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.☆71Updated 3 months ago
- A pytorch implementation for BPR (Bayesian Personalized Ranking).☆143Updated 6 years ago
- Tool for autodownloading recommendation systems datasets☆42Updated 2 years ago
- Bayesian Personalized Ranking using PyTorch☆138Updated 5 months ago
- The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"☆118Updated last year
- ☆65Updated 2 years ago
- Download and preprocess popular sequential recommendation datasets☆213Updated 2 years ago
- An other implementation of GRU4REC using PyTorch☆249Updated 4 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"☆24Updated 3 years ago
- An up-to-date, comprehensive and flexible recommendation library☆212Updated last year
- Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch☆36Updated last year
- PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models☆305Updated 2 years ago
- 🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.☆38Updated last month
- This repository collects debiasing methods for recommendation☆441Updated last year
- Pytorch implementation of BERT4Rec and Netflix VAE.☆393Updated 2 years ago
- PyTorch-Lightning Library for Neural News Recommendation☆57Updated 3 months ago
- Some common recommendation system baseline, with description and link.☆42Updated 6 years ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆99Updated 8 months ago
- A curated model zoo for recommendation tasks☆192Updated last year