An exhibit recommendation system based on semantic networks for museum

Chihiro Maehara, Kotaro Yatsugi, Daewoong Kim, Taketoshi Ushiama

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

Abstract

Today, information devices as exhibition guide systems to support visitor's appreciation are introduced in many museums. In this paper, we propose a system for recommending some exhibits suitable for visitor's interests and requirements with an information device. The proposed system supports a user to appreciate an exhibition and arouses interests of the user by recommending exhibits. Exhibits which the system recommends are selected based on the two types of scores: aggregation scores and influence scores. The aggregation score of an exhibit is defined as the sum of the influence scores of exhibits which have influences on it, and the influence score of an exhibit is defined as the sum of the aggregation scores of exhibits influenced by it. Those scores are calculated based on a semantic network on the exhibits in a museum.

Original languageEnglish
Title of host publicationInnovations in Intelligent Machines - 2
Subtitle of host publicationIntelligent Paradigms and Applications
EditorsToyohide Watanabe, Lakhmi Jain
Pages131-141
Number of pages11
DOIs
Publication statusPublished - Jan 1 2012

Publication series

NameStudies in Computational Intelligence
Volume376
ISSN (Print)1860-949X

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Maehara, C., Yatsugi, K., Kim, D., & Ushiama, T. (2012). An exhibit recommendation system based on semantic networks for museum. In T. Watanabe, & L. Jain (Eds.), Innovations in Intelligent Machines - 2: Intelligent Paradigms and Applications (pp. 131-141). (Studies in Computational Intelligence; Vol. 376). https://doi.org/10.1007/978-3-642-23190-2-10