概念階層ネットワークを用いたレストラン推薦対話における情報検索方式

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2020/11/01

タイトル(英語): Concept Hierarchy Network based Information Retrieval for Restaurant Recommendation Dialogue

著者名: 立道　聖大（東海大学情報通信学部），山内　あずさ（東海大学情報通信学部），島田　建（東海大学情報通信学部），今村　誠（東海大学情報通信学部）

著者名(英語): Syouta Tatemichi (School of Information and Telecommunication Engineering, Tokai University), Azusa Yamauchi (School of Information and Telecommunication Engineering, Tokai University), Takeru Shimada (School of Information and Telecommunication Engineering, Tokai University), Makoto Imamura (School of Information and Telecommunication Engineering, Tokai University)

キーワード: 情報推薦，概念階層，UGC　　Information recommendation，Concept hierarchy，UGC

要約(英語): Information recommendation using UGC (User Generated Contents) systems has been paid much attention recently. Explainability and reliability are important for users easy to interpret the search results of a recommendation system. This paper proposes a hierarchical concept network that represents inferences based on evaluation criteria for recommendation in order to satisfy explainable recommendation. Futhermore, we also achieve reliable recommendation by restricting knowledge sources in generating the links between concept categories. We evaluate that our proposal method can generate explainable and reliable search results in some examples of restaurant information recommendation.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.140 No.11 （2020） 特集：電気関係学会関西連合大会

本誌掲載ページ: 1230-1238 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/140/11/140_1230/_article/-char/ja/