抄録
In this paper, we propose a music recommendation system based on a certain theme, entered by a user. Recently, the amount of digital music database has grown rapidly with the popularization of the internet. As a result, it has become more time consuming for users to find songs of their distinct taste or feelings at the moment. Now, many music retrieving and recommendation systems exist on the internet, but these conventional systems hold one or more of the following problems: (1) users cannot find songs if they do not know the specific title or artist of a song; (2) they cannot search music with more than one sensitivity word; (3) users can only choose certain keywords or sensitivity words from a list of words provided by the system. Hence, we propose a novel recommendation system that integrates semantic associative search, freeing users from these constraints, and enabling them to search for their desired music in their own words.
