TY  - JOUR
T1  - Appropriate Context for Context Aware Music Recommendation
AU - Doulat-Kia, Iman AU - Azimzadeh, F 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 4
SP  - 840
EP  - 847
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.840.847
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.840.847
KW  - Context aware music recommendations
KW  -context information
KW  -clustering
KW  -
KW  -behavioral analysis
KW  -personalization
KW  -psychology of music inclinations
KW  -internet-based applications
AB  - There are various environmental factors that impact on selection of appropriate music. For example, selection of music in a foggy mountain is totally different with music selections in traffic jam or human sensation for listening to music on a weekend morning is extremely different with a research day’s afternoon. In this study, context information which can impact on user’s choices is evaluated through psychology of music inclinations, context information used in related researches and studies and also smartphones limitations and entirely most appropriate scheme will be offered. Particularly, these context information can be used in all context aware music recommendations. Finally, adopted experiments reveals that recommendations which apply these context information are acceptably similar to user’s selection in all circumstances.
ER  -