KAN (Kolmogorov-Arnold Network)-based Recommendation (CF)

RecSys 2022 Tutorial Hands on Explainable Recommender Systems with Knowledge Graphs

Reinforced Recommendation toolkit built around pytorch 1.7

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

A simple audio fingerprinting system

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

The Implementation of "FISM: Factored Item Similarity Models for Top-N Recommender Systems"

High-performance implementation of SLIM-based approaches for Top-N recommendation

On Mitigating Popularity Bias in Recommendations via Variational Autoencoders

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

WIP

A library of metrics for evaluating recommender systems

Code used in the paper "A unified optimization toolbox for solving popularity bias, fairness, and diversity in recommender systems" by Sinan Seymen, Himan Abdollahpouri and Edward C. Malthouse

This repository collects debiasing methods for recommendation

The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation (Bias@ECIR 22))