Automatic composition of personalized appreciation route based on semantic relationship between exhibits in museum

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Abstract

Recently, many studies have been reported on ranking and recommendation of a variety of digital contents on the Internet. On the other hand, exhibitions in museums can be considered as actual contents in the real world, so we think that some techniques of ranking and recommendation can be applicable to appreciate exhibitions in a museum effectively and efficiently for a visitor based on his/her interests. Today, information devices as exhibition guide systems to support visitor's appreciation are introduced in many museums. In this paper, we propose an approach for composing personalized appreciation route matched to user's interest and situation, using the information device. Our system supports a user to appreciate an exhibition well, and arouses user's interest by composing a route based on semantic relationship between exhibits. © Springer-Verlag 2010.

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APA

Maehara, C., Yatsugi, K., Kim, D., & Ushiama, T. (2010). Automatic composition of personalized appreciation route based on semantic relationship between exhibits in museum. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6279 LNAI, pp. 261–270). https://doi.org/10.1007/978-3-642-15384-6_28

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