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.
Zare Zardiny,A and Akhavan Rad,M . (2024). The Design and Implementation of a Location-based System for Music Recommendation on the Web. Journal of Algorithms and Computation, 56(2), 123-134. doi: 10.22059/jac.2025.390074.1223
MLA
Zare Zardiny,A , and Akhavan Rad,M . "The Design and Implementation of a Location-based System for Music Recommendation on the Web", Journal of Algorithms and Computation, 56, 2, 2024, 123-134. doi: 10.22059/jac.2025.390074.1223
HARVARD
Zare Zardiny A, Akhavan Rad M. (2024). 'The Design and Implementation of a Location-based System for Music Recommendation on the Web', Journal of Algorithms and Computation, 56(2), pp. 123-134. doi: 10.22059/jac.2025.390074.1223
CHICAGO
A Zare Zardiny and M Akhavan Rad, "The Design and Implementation of a Location-based System for Music Recommendation on the Web," Journal of Algorithms and Computation, 56 2 (2024): 123-134, doi: 10.22059/jac.2025.390074.1223
VANCOUVER
Zare Zardiny A, Akhavan Rad M. The Design and Implementation of a Location-based System for Music Recommendation on the Web. J. Algo. Comp.. 2024;56(2):123-134. doi: 10.22059/jac.2025.390074.1223
