Abstract
Recently, advances in information and communications technology have allowed us to easily download our favorite songs from the Internet. A song in general is more often played in sequence with other various ones than listened separately. The evolution of devices, however, has caused an increased number of portable songs and thus frequent difficulties in nicely combining multiple songs from a flood of songs to make a satisfactory playlist. There are many existing research works on songs search and retrieval, such as a songs each system using affective words and a songs recommendation system in consideration for the user’s preference. These existing researches, however, are intended for "selecting a single song suited to the user’s image", and never takes into consideration a combination of multiple songs. Therefore, it is difficult that existing systems automatically generate a desired playlist.
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Shoji, H., Okawa, J., Kaji, K., Akihiro, O. (2013). A Study on Combinative Value Creation in Songs Selection. In: Kurosu, M. (eds) Human-Computer Interaction. Towards Intelligent and Implicit Interaction. HCI 2013. Lecture Notes in Computer Science, vol 8008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39342-6_41
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DOI: https://doi.org/10.1007/978-3-642-39342-6_41
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