Music by actions: a music recommender based on activity recognition

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Music by actions: a music recommender based on activity recognition

Recommendation systems are widely used for personalized movies, music and product suggestions using collaborative filtering methods. Currently, music recommender suggests music based on listening history and similar genres, which are not ambient and actor aware. This project proposes HitMe; a music...

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Bibliographic Details
Main Author:	Ong, Kian Shon
Format:	Final Year Project / Dissertation / Thesis
Published:	2022
Subjects:	T Technology (General)
Online Access:	http://eprints.utar.edu.my/4723/ http://eprints.utar.edu.my/4723/1/fyp_IA_2022_OKS.pdf

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