ACMRecSys / recsys-evaluation-frameworks
A link to frameworks useful for the evaluation and reproducibility of recorecommendation algorithms
☆56Updated 5 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
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆167Updated last month
- ☆125Updated last year
- Official implementation of the GRU4Rec algorithm in PyTorch☆64Updated last year
- Benchmarking of Session-based Recommendation Approaches☆30Updated 4 years ago
- Context and Attribute-Aware Sequential Recommendation via Cross-Attention, RecSys 2022☆66Updated last year
- ☆63Updated last year
- PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.☆142Updated 3 years ago
- ⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.☆67Updated last week
- ☆81Updated 6 months ago
- embarrassingly shallow autoencoder☆69Updated 2 years ago
- code for the gsasrec paper☆22Updated 11 months ago
- Bayesian Personalized Ranking using PyTorch☆134Updated 2 weeks ago
- Tool for autodownloading recommendation systems datasets☆39Updated 2 years ago
- ☆25Updated 3 years ago
- An up-to-date, comprehensive and flexible recommendation library☆198Updated last year
- A Next Basket Recommendation Reality Check☆25Updated 2 years ago
- Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation☆286Updated 4 months ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- Framework for Interactive Evaluation of Recommender Systems☆36Updated last year
- https://sites.google.com/cornell.edu/recsys2021tutorial☆54Updated 3 years ago
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆387Updated 3 years ago
- RecSys 2022 Tutorial Hands on Explainable Recommender Systems with Knowledge Graphs☆50Updated last year
- Download and preprocess popular sequential recommendation datasets☆204Updated 2 years ago
- ☆57Updated 11 months ago
- ☆61Updated 3 weeks ago
- Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch☆35Updated last year
- ☆10Updated last year
- A pytorch implementation for BPR (Bayesian Personalized Ranking).☆140Updated 5 years ago
- The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"☆115Updated 10 months ago
- Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch☆132Updated 3 years ago