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Music Recommendation System Based on User Preferences by Analyzing the Genre, Emotion and Sentiment of Music
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| dc.contributor.author | Walpola, Dinuka | |
| dc.date.accessioned | 2025-06-06T04:35:45Z | |
| dc.date.available | 2025-06-06T04:35:45Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Walpola, Dinuka (2024) Music Recommendation System Based on User Preferences by Analyzing the Genre, Emotion and Sentiment of Music. BSc. Dissertation, Informatics Institute of Technology | en_US |
| dc.identifier.issn | 20200171 | |
| dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/2452 | |
| dc.description.abstract | Even with the help of today’s well-developed music streaming platforms, it is difficult to permanently address the problem of satisfying each user's music preferences that are changing at every moment with different contexts and emotional states. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Music emotion | en_US |
| dc.subject | Music Recommendation Systems | en_US |
| dc.subject | Personalized Recommendations | en_US |
| dc.title | Music Recommendation System Based on User Preferences by Analyzing the Genre, Emotion and Sentiment of Music | en_US |
| dc.type | Thesis | en_US |
