Currently, music streaming networks require recommendation algorithms for helping consumers find new music that meets their preferences. Python is preferred by developers because it offers great ...

The integration of Artificial Intelligence (AI) in education has shown promising potential to enhance learning experiences and provide personalized assistance to students. However, existing AI-based ...

The goal for this project is to create an LLM based music recommendation system. This project is currently in its very early stages, however the goal of this project is to create an extremely flexible ...

Spotify aims to build new and interesting audio experiences for its users. But first, it has to understand what you might like.

In our recently published paper Sequence-based explainable hybrid song recommendation in Frontiers in Big Data, we proposed a hybrid recommender system for song recommendation that relies on user ...

We propose a model-specific post-hoc explainable recommender system (Arrieta et al., 2020) that, aside from reaching competitive recommendation performance compared to state-of-the-art methods, ...

Music service providers like Spotify need an efficient way to manage songs and help their customers to discover music by giving a quality recommendation. For building this recommendation system, they ...