Music Recommendation Systems using the JINA.AI platform

Authors

DOI:

https://doi.org/10.20873/uft.2675-3588.2023.v4n2.p63-68

Keywords:

Recommender Systems, Music Recommendation, Jina.AI

Abstract

In recent years, music consumption has undergone significant changes, with online streaming becoming a popular option. Major platforms like Spotify and Apple Music offer vast catalogs, powering recommendation systems to cater to users. Such systems are complex and need to be scalable to handle data volumes. Jina.AI, a leading multimodal artificial intelligence platform, stands out among the options for creating scalable solutions. Thus, this study aims to demonstrate the creation of a content-based music recommendation system using the concept of embeddings for indexing and neural search using the Jina.AI platform. The experiment’s results presented show the viability, versatility, and ease of creating a content-based recommendation system with Jina.AI.

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Published

2023-10-16

How to Cite

[1]
Silva, M.A.S. e and Lima de Carvalho, R. 2023. Music Recommendation Systems using the JINA.AI platform. Academic Journal on Computing, Engineering and Applied Mathematics. 4, 2 (Oct. 2023), 63–68. DOI:https://doi.org/10.20873/uft.2675-3588.2023.v4n2.p63-68.

Issue

Vol. 4 No. 2 (2023)

Section

Special Issue

Categories

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Copyright (c) 2023 Matheus Silva, Rafael Lima de Carvalho

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