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Time-Slot Based Intelligent Music Recommender in Indian Music
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Author(s): Sudipta Chakrabarty (Techno India Salt Lake, India), Samarjit Roy (Techno India Silli, India)and Debashis De (Maulana Abul Kalam Azad University of Technology, India)
Copyright: 2017
Pages: 33
Source title:
Intelligent Analysis of Multimedia Information
Source Author(s)/Editor(s): Siddhartha Bhattacharyya (RCC Institute of Information Technology, India), Hrishikesh Bhaumik (RCC Institute of Information Technology, India), Sourav De (The University of Burdwan, India)and Goran Klepac (University College for Applied Computer Engineering Algebra, Croatia & Raiffeisenbank Austria, Croatia)
DOI: 10.4018/978-1-5225-0498-6.ch012
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Abstract
Music listening is one of the most common thing of human behaviors. Normally mobile music is downloaded to mobile phones and played by mobile phones. Today millennial people use mobile music in about all the age groups. Music recommendation system enhances personalized music classifications that create a profile with the service and build up a music library based on the choice preferences using mobile cloud services. Music recommendation through cloud is therefore an emerging field, and this can be done using various parameters like song genre similarity, human behavior, human mood, song rhythmic patterns, seasons etc. In this article an intelligent music recommender system that identifies the raga name of one particular song music and then mapping with the raga time database and classify the songs according to their playing time and create time slot based personalized music libraries.
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