Heartbeats: music recommendation system with fuzzy inference engine
In developing a music recommendation system, there are several factors that can contribute to the inefficiency in music selection. One of the problems persists during the music listening is that common music playing application lacks the ability to acquire context of the user. Another problem that c...
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| Main Authors: | , , , , |
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| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2019-10-01.
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| Online Access: | Get fulltext |
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| LEADER | 02371 am a22003373u 4500 | ||
|---|---|---|---|
| 001 | ijeecs19978_12933 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Kasinathan, Vinothini |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Mustapha, Aida |e author |
| 700 | 1 | 0 | |a Sau Tong, Tan |e author |
| 700 | 1 | 0 | |a Che Abdul Rani, Mohamad Firdaus |e author |
| 700 | 1 | 0 | |a Abd Rahman, Nor Azlina |e author |
| 245 | 0 | 0 | |a Heartbeats: music recommendation system with fuzzy inference engine |
| 260 | |b Institute of Advanced Engineering and Science, |c 2019-10-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19978 | ||
| 520 | |a In developing a music recommendation system, there are several factors that can contribute to the inefficiency in music selection. One of the problems persists during the music listening is that common music playing application lacks the ability to acquire context of the user. Another problem that common music recommendation system fails to address the is emotional impact of the recommended song. To address this gap, this paper presents a music recommendation system based on fuzzy inference engine that considers user activities and emotion as part of the recommendation parameters. The system includes building a smart music recommendation system that has user profiling capabilities to recommend correct songs based on the user's preferences, mood and time. Findings of the this paper have shown that Heartbeats's fuzzy inference engine has successfully achieved its aim, which is to improve users' music listening experience by giving suitable song recommendation based on user context situation. | ||
| 540 | |a Copyright (c) 2019 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 690 | |a Fully logic, Recommendation system, User profiling | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 16, No 1: October 2019; 275-282 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v16.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19978/12933 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19978/12933 |z Get fulltext |