Image-Inspired Melodies: An Image Based Music Recommendation System

Gradual Change of trend in recommendation systems become necessarily important for customer satisfaction on music streaming platforms. This paper introduces us to a novel music recommendation system that utilizes the facial emotion of the user as well as emotion of each song in order to recommend songs as well as generating a personalized user music playlist which is in perfect synchronization with the user’s mood. Utilization of such novel recommendation systems in necessary in order to increase customer satisfaction as well as ensure that the customers are active on music streaming platforms which can globally benefit these music streaming platforms from a business standpoint as well as from a technical standpoint.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/conit65521.2025.11167187
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Image-Inspired Melodies: An Image Based Music Recommendation System

Singh Anubhav Gajendra, Dinesh Singh, Neelalohith R Kashyap, Nishanth R Kashyap et al.
Music and Audio Processing
article

Image-Inspired Melodies: An Image Based Music Recommendation System

Singh Anubhav Gajendra, Dinesh Singh, Neelalohith R Kashyap, Nishanth R Kashyap, K Virupakshi
article en

Abstract

Gradual Change of trend in recommendation systems become necessarily important for customer satisfaction on music streaming platforms. This paper introduces us to a novel music recommendation system that utilizes the facial emotion of the user as well as emotion of each song in order to recommend songs as well as generating a personalized user music playlist which is in perfect synchronization with the user’s mood. Utilization of such novel recommendation systems in necessary in order to increase customer satisfaction as well as ensure that the customers are active on music streaming platforms which can globally benefit these music streaming platforms from a business standpoint as well as from a technical standpoint.

PES University (IN)
Openalex Percentile: Top 68%
Music and Audio Processing
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