Music is ubiquitous in our daily life. People actively or passively listen to music at different locations and consciously or non-consciously experience it as a form of emotion expression. In this paper, we present a new location and emotion aware web-base interactive music system. It aims to provide the user preferred music with location and emotion awareness. The system starts recommendation with expert knowledge. If the user does not like the recommendation, he/she can decline the recommendation and select the desired music himself/herself. During this process, the user's interactions with the system, current location and emotion are logged for music preference learning. Thus, the system can adapt to the user's latest music preference. Also, the more the user uses the system, the more personalized music can be adapted to him/her.
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