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Representation Learning for Image-based Music Recommendation
- Publication Year :
- 2018
-
Abstract
- 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.<br />Comment: 2 pages, LBRS@RecSys'18
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1808.09198
- Document Type :
- Working Paper