Beyond Musical Descriptors: Extracting Preference-Bearing Intent in Music Queries

• URL: http://arxiv.org/abs/2602.12301v1
• Date: Wed, 11 Feb 2026 10:52:38 GMT
• Title: Beyond Musical Descriptors: Extracting Preference-Bearing Intent in Music Queries
• Abstract summary: We introduce MusicRecoIntent, a manually annotated corpus of 2,291 Reddit music requests.<n>We label musical descriptors across seven categories with positive, negative, or referential preference-bearing roles.
• Score: 9.932656605847727
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Although annotated music descriptor datasets for user queries are increasingly common, few consider the user's intent behind these descriptors, which is essential for effectively meeting their needs. We introduce MusicRecoIntent, a manually annotated corpus of 2,291 Reddit music requests, labeling musical descriptors across seven categories with positive, negative, or referential preference-bearing roles. We then investigate how reliably large language models (LLMs) can extract these music descriptors, finding that they do capture explicit descriptors but struggle with context-dependent ones. This work can further serve as a benchmark for fine-grained modeling of user intent and for gaining insights into improving LLM-based music understanding systems.

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