Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
32nd (2018)
Session ID : 3Pin1-40
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BGM Recommendation System Considering the Atmosphere
*Kikue SATOShiori SAKAIEichi TAKAYAKazuki YAMAUCHIHayato OYASatoshi KURIHARA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Japanese sometimes leave the decision of things to the atmosphere, it is very important to design the atmosphere of the place in various situations. BGM has an emotion inducing effect and an image inducing effect, which makes it possible to change the atmosphere of the space. In this paper, we proposed a BGM recommendation system reflecting the atmosphere in the shop by combining images and environmental sounds and constructing a data set using shop labels. As a result of recommendation by our system, higher ratings than baseline were obtained for three index.

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© 2018 The Japanese Society for Artificial Intelligence
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