An exhibit recommendation system based on semantic networks for museum

Chihiro Maehara, Kotaro Yatsugi, Daewoong Kim, Taketoshi Ushiama

研究成果: Chapter in Book/Report/Conference proceedingChapter

7 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトルInnovations in Intelligent Machines - 2
ホスト出版物のサブタイトルIntelligent Paradigms and Applications
ページ131-141
ページ数11
DOI
出版ステータス出版済み - 2012

出版物シリーズ

名前Studies in Computational Intelligence
376
ISSN(印刷版)1860-949X

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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