# Representation Learning for Image-based Music Recommendation

arXiv: https://arxiv.org/abs/1808.09198 · HTML: https://mlsanity.com/paper/1808.09198/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Aug 2018.

## Built on by (most cited first, 1 of 1)

- [Video-to-Music Recommendation using Temporal Alignment of Segments](https://mlsanity.com/paper/2306.07187/) (2023)

## Abstract (arXiv)

Image perception is one of the most direct ways to provide contextual information about a user concerning his/her surrounding environment; hence images are a suitable proxy for contextual recommendation. We propose a novel representation learning framework for image-based music recommendation that bridges the heterogeneity gap between music and image data; the proposed method is a key component for various contextual recommendation tasks. Preliminary experiments show that for an image-to-song retrieval task, the proposed method retrieves relevant or conceptually similar songs for input images.