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An efficient framework for recommendation of hindustani art music
, P.P. Joshi, M. Patwardhan
Published in Institute of Electrical and Electronics Engineers Inc.
Music directly connects to soul and induces emotions in mind and brain. Hindustani Art music (HAM) has nine different aesthetic delights and in turn various moods and emotions associated with it. It is also associated with seasons and time of day. HAM has many applications in music therapy and meditation. So, an exclusive Recommender system for HAM will help listeners to change their mood and rejuvenate their psychological and physiological health conditions. A framework for recommendation of HAM by extracting various attributes, features and properties of music and using a hybrid filtering approach for recommendation is presented. The traditional Nava-Rasa model is suitable for HAM with which we can track the emotions associated with this music.