条件検索とラフ集合の縮約ルールを利用した学生向け賃貸物件推薦システムの開発

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: 2013/04/01

タイトル(英語): Development of Recommendation System for a Leasehold House for Students with Conditional Search and Reducts Rule in Rough Set

著者名: 湯本　真樹（近畿大学）

著者名(英語): Masaki Yumoto (Kinki University)

キーワード: 推薦システム，賃貸物件，条件検索，ラフ集合，縮約ルール　　Recommendation system，Leasehold houses，Conditional search，Rough set，Reducts rule

要約(英語): Many new college or university students use the housing conditional search system for a leasehold house on Web recently. This system is difficult to deal with unclear request which has a relation of a trade-off. Reducts rule in rough set can extract the house according to the request. However, creating the rules gives the user a great load about evaluation, and the user may be unable to obtain clear result. This is because rough set is a concept which treats uncertainly.This paper presents the recommendation system for a leasehold house for students with conditional search and reducts rule in rough set. This system performs conditional search using housing information, and evaluate desirable houses by reducts rule in rough set. Through the experiment, it is confirm that the system can recommend houses which the user satisfied.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.4 （2013） 特集：新たなサービス社会に貢献する情報・システム技術

本誌掲載ページ: 740-748 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/133/4/133_740/_article/-char/ja/