Music Recommendation

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 36 papers with code (118 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Knowledge Graph Convolutional Networks for Recommender Systems
  18 Mar 2019 8 repositories listed Syntology ran 1 of 5 samples · 4 unverified · 1 pointer-only (licence)
  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…
• The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
  10 Dec 2019 3 repositories listed
  The recent work of Abdollahpouri et al.
• Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework
  29 Oct 2022 2 repositories listed
  Recommendation systems have illustrated the significant progress made in characterizing users' preferences based on their past behaviors.
• Item-based Variational Auto-encoder for Fair Music Recommendation
  24 Oct 2022 2 repositories listed
  Our proposed system is based on an ensemble between an item-based variational auto-encoder (VAE) and a Bayesian personalized ranking matrix factorization (BPRMF).
• Deep Content-User Embedding Model for Music Recommendation
  18 Jul 2018 2 repositories listed
  Recently deep learning based recommendation systems have been actively explored to solve the cold-start problem using a hybrid approach.
• Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval
  31 Mar 2025 1 repository listed
  Through an offline evaluation on a dataset of playlists with language inputs, we find that (1) the strategy to create IDs for music tracks is the most important factor for the effectiveness of Text2Tracks and semantic…
• Harnessing High-Level Song Descriptors towards Natural Language-Based Music Recommendation
  8 Nov 2024 1 repository listed
  We formulate the recommendation task as a dense retrieval problem and assess LMs as they become increasingly familiar with data pertinent to the task and domain.
• MIRFLEX: Music Information Retrieval Feature Library for Extraction
  1 Nov 2024 1 repository listed
  This paper introduces an extendable modular system that compiles a range of music feature extraction models to aid music information retrieval research.
• Comparative Analysis of Pretrained Audio Representations in Music Recommender Systems
  13 Sep 2024 1 repository listed
  Over the years, Music Information Retrieval (MIR) has proposed various models pretrained on large amounts of music data.
• Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning
  11 Sep 2024 1 repository listed
  Modern music streaming services are heavily based on recommendation engines to serve content to users.
• Enhancing Sequential Music Recommendation with Personalized Popularity Awareness
  6 Sep 2024 1 repository listed
  In the realm of music recommendation, sequential recommender systems have shown promise in capturing the dynamic nature of music consumption.
• Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation
  29 Aug 2024 1 repository listed
  In this paper, we introduce PISA (Psychology-Informed Session embedding using ACT-R), a session-level sequential recommender system that overcomes this limitation.
• It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation
  22 Aug 2024 1 repository listed
  In this work, we examine that feedback loop to study whether algorithmic strategies or user behavior are a greater contributor to ongoing improvement (or loss) in fairness as models are repeatedly re-trained on new user…
• Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems
  21 Aug 2024 1 repository listed
  In addition, users from less represented countries (e.
• Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network
  20 Jun 2024 1 repository listed
  Ablation studies and case studies further validate the effectiveness of our HDBN.
• A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability
  21 May 2024 1 repository listed
  Despite the abundance of music, certain pieces remain more memorable and often gain greater popularity.
• Music Emotion Prediction Using Recurrent Neural Networks
  10 May 2024 1 repository listed
  This study explores the application of recurrent neural networks to recognize emotions conveyed in music, aiming to enhance music recommendation systems and support therapeutic interventions by tailoring music to fit…
• MuseChat: A Conversational Music Recommendation System for Videos
  10 Oct 2023 1 repository listed
  The reasoning module, equipped with the power of Large Language Model (Vicuna-7B) and extended to multi-modal inputs, is able to provide reasonable explanation for the recommended music.
• Of Spiky SVDs and Music Recommendation
  30 Jun 2023 1 repository listed
  The truncated singular value decomposition is a widely used methodology in music recommendation for direct similar-item retrieval or embedding musical items for downstream tasks.
• Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
  19 Jun 2023 1 repository listed
  In this work, we propose an Open-World Knowledge Augmented Recommendation Framework with Large Language Models, dubbed KAR, to acquire two types of external knowledge from LLMs -- the reasoning knowledge on user…
• GCNSLIM: Graph Convolutional Network with Sparse Linear Methods for E-government Service Recommendation
  15 May 2023 1 repository listed
  However, existing GCN-based CF methods are mainly based on matrix factorization and incorporate some optimization tech-niques to enhance performance, which are not enough to handle the complexities of diverse real-world…
• A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation Queries
  13 Mar 2023 1 repository listed
  We conducted a human subject study of named entity recognition on a noisy corpus of conversational music recommendation queries, with many irregular and novel named entities.
• Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset
  13 Mar 2023 1 repository listed
  Users in consumption domains, like music, are often able to more efficiently provide preferences over a set of items (e.
• Music Playlist Title Generation Using Artist Information
  14 Jan 2023 1 repository listed
  Automatically generating or captioning music playlist titles given a set of tracks is of significant interest in music streaming services as customized playlists are widely used in personalized music recommendation, and…
• Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
  1 Dec 2022 1 repository listed
  We present the results of a 12-week longitudinal user study wherein the participants, 110 subjects from Southern Europe, received on a daily basis Electronic Music (EM) diversified recommendations.
• Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
  24 Apr 2022 1 repository listed
  Existing explainable recommender systems have mainly modeled relationships between recommended and already experienced products, and shaped explanation types accordingly (e.
• Explainability in Music Recommender Systems
  25 Jan 2022 1 repository listed
  In this article, we discuss how explainability can be addressed in the context of MRSs.
• Evaluating Music Recommendations with Binary Feedback for Multiple Stakeholders
  16 Sep 2021 1 repository listed
  High quality user feedback data is essential to training and evaluating a successful music recommendation system, particularly one that has to balance the needs of multiple stakeholders.
• Neural content-aware collaborative filtering for cold-start music recommendation
  24 Feb 2021 1 repository listed
  In this work, we introduce neural content-aware collaborative filtering, a unified framework which alleviates these limits, and extends the recently introduced neural collaborative filtering to its content-aware…
• Transformer-based approach towards music emotion recognition from lyrics
  6 Jan 2021 1 repository listed
  The task of identifying emotions from a given music track has been an active pursuit in the Music Information Retrieval (MIR) community for years.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.