ネットワーク内蓄積情報を対象としたユーザ効用最大化探索手法の基礎検討

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: 2012/06/01

タイトル(英語): A Basic Study on User Utility Maximizing Content Retrieval from Information Networks

著者名: 菅原　真司（名古屋工業大学 大学院 創成シミュレーション工学専攻），大西　宏之（名古屋工業大学 大学院 創成シミュレーション工学専攻）

著者名(英語): Shinji Sugawara (Graduate School of Engineering, Nagoya Institute of Technology), Hiroyuki Ohnishi (Graduate School of Engineering, Nagoya Institute of Technology)

キーワード: ユーザ効用，コンテンツ探索，情報ネットワーク，分散環境，計算機シミュレーション　　user utility，content retrieval，information network，distributed environment，computer simulation

要約(英語): This paper proposes some basic methods of content searching with gaining high user utility or user's satisfaction from a lot of information sources scattered in large scale networks. In these methods, searching policy is decided by the estimated user utility gain and/or current user utility for each searching action, and the most favorable combination of an information source and searching content item is selected so as to enlarge the total amount of user utility of whole searching activity. In addition, we evaluate the efficiency of the methods by computer simulations; in which, we give network topology, user utility functions, existing probabilities of searching content items in each information source etc., apply proposed methods and other methods for comparison, and compare summation of their utility gains as an estimative index. As a result, the proposed methods achieve good performance in general and about 2.45 times larger index value than an ordinary searching is observed in an extreme simulation scenario. Furthermore, we discuss pros and cons of the proposed methods in all the simulation scenarios.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.6 （2012） 特集：データ指向型モデリング/予測/制御

本誌掲載ページ: 1028-1034 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/132/6/132_1028/_article/-char/ja/