Music Recommendation

23 papers with code • 1 benchmarks • 2 datasets

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Libraries

Use these libraries to find Music Recommendation models and implementations

Most implemented papers

Knowledge Graph Convolutional Networks for Recommender Systems

hwwang55/KGCN 18 Mar 2019

To alleviate sparsity and cold start problem of collaborative filtering based recommender systems, researchers and engineers usually collect attributes of users and items, and design delicate algorithms to exploit these additional information.

The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study

domkowald/LFM1b-analyses 10 Dec 2019

The recent work of Abdollahpouri et al. in the context of movie recommendations has shown that this popularity bias leads to unfair treatment of both long-tail items as well as users with little interest in popular items.

Item-based Variational Auto-encoder for Fair Music Recommendation

parkjinhyeock/evalrs-submission 24 Oct 2022

Our proposed system is based on an ensemble between an item-based variational auto-encoder (VAE) and a Bayesian personalized ranking matrix factorization (BPRMF).

Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework

wwweiwei/track2vec 29 Oct 2022

Recommendation systems have illustrated the significant progress made in characterizing users' preferences based on their past behaviors.

MusicMood: Predicting the mood of music from song lyrics using machine learning

rasbt/musicmood 1 Nov 2016

Sentiment prediction of contemporary music can have a wide-range of applications in modern society, for instance, selecting music for public institutions such as hospitals or restaurants to potentially improve the emotional well-being of personnel, patients, and customers, respectively.

A Deep Multimodal Approach for Cold-start Music Recommendation

sergiooramas/tartarus 29 Jun 2017

Second, track embeddings are learned from the audio signal and available feedback data.

Deep Content-User Embedding Model for Music Recommendation

jongpillee/deep-content-user 18 Jul 2018

Recently deep learning based recommendation systems have been actively explored to solve the cold-start problem using a hybrid approach.

Recognizing Musical Entities in User-generated Content

MTG/music-ner 1 Apr 2019

Recognizing Musical Entities is important for Music Information Retrieval (MIR) since it can improve the performance of several tasks such as music recommendation, genre classification or artist similarity.

Deep Learning-Based Automatic Downbeat Tracking: A Brief Review

gotbutchi/Coderschool-Machine-Learning-Final-Project 10 Jun 2019

Thereinto, downbeat tracking has been a fundamental and continuous problem in Music Information Retrieval (MIR) area.

Exploring Artist Gender Bias in Music Recommendation

dshakes90/Last-fm-Gender-Bias-Analysis 3 Sep 2020

Music Recommender Systems (mRS) are designed to give personalised and meaningful recommendations of items (i. e. songs, playlists or artists) to a user base, thereby reflecting and further complementing individual users' specific music preferences.