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Zare Zardiny, Ali, Akhavan Rad, MohammadAli. (1403). The Design and Implementation of a Location-based System for Music Recommendation on the Web. , 56(2), 123-134. doi: 10.22059/jac.2025.390074.1223
Ali Zare Zardiny; MohammadAli Akhavan Rad. "The Design and Implementation of a Location-based System for Music Recommendation on the Web". , 56, 2, 1403, 123-134. doi: 10.22059/jac.2025.390074.1223
Zare Zardiny, Ali, Akhavan Rad, MohammadAli. (1403). 'The Design and Implementation of a Location-based System for Music Recommendation on the Web', , 56(2), pp. 123-134. doi: 10.22059/jac.2025.390074.1223
Zare Zardiny, Ali, Akhavan Rad, MohammadAli. The Design and Implementation of a Location-based System for Music Recommendation on the Web. , 1403; 56(2): 123-134. doi: 10.22059/jac.2025.390074.1223

The Design and Implementation of a Location-based System for Music Recommendation on the Web

Journal of Algorithms and Computation
دوره 56، شماره 2، اسفند 2024، صفحه 123-134    اصل مقاله (1.31 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jac.2025.390074.1223
نویسندگان
Ali Zare Zardiny* 1؛ MohammadAli Akhavan Rad2
1School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran
2Web and Software Developer, Tehran, Iran
چکیده
Music serves as a universal medium for expressing emotions and entertainment. With advancements in technology and artificial intelligence, online systems for sharing and recommending music have grown, but a gap remains in location-based, emotion-aware music suggestions. This article proposes a novel system that combines location and emotional context to recommend music. Users can attach songs tied to specific locations and memories on a map, enabling intelligent suggestions for others. The system’s hybrid design incorporates user feedback, distinguishing it from existing models. Challenges like incomplete databases and limited user preference data at launch were addressed during implementation. This project aims to enhance music sharing by integrating emotional and geographical contexts, offering a personalized and interactive experience for users.
کلیدواژه‌ها
Music؛ Recommendation Systems؛ Location-Based Services؛ Web GIS؛ Artificial Intelligence
آمار
تعداد مشاهده مقاله: 33
تعداد دریافت فایل اصل مقاله: 55





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