2種類の利用者の嗜好を利用したラフ集合による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: 2016/07/01

タイトル(英語): Development of Recommendation System in Rough Set for a Leasehold House for Students Based on Two Kinds of Target User's preference

著者名: 湯本　真樹（近畿大学理工学部電気電子工学科）

著者名(英語): Masaki Yumoto (Department of Electric and Electronic Engineering, Faculty of Science and Engineering, Kindai University)

キーワード: 推薦システム，賃貸物件，条件検索，ラフ集合，決定ルール，嗜好　　Recommendation system，Leasehold houses，Conditional search，Rough set，Decision rule，Preference

要約(英語): Many new college or university students use the housing conditional search system for a leasehold house on Web recently. There is a recommendation system for a leasehold house for students with conditional search and decision rule in rough set. This system performs conditional search using housing information, and evaluate desirable houses by decision rule in rough set. However, the users have a heavy load of judgement about many specimen houses which is prepared in advance, in order to grasps the target user preference.This paper presents the recommendation system in rough set for a leasehold house for students based on two kinds of target user's preference. This system grasps the target user preference based on two kinds of rules which correspond to two kinds of judgement “good” and “bad”. These judgments for selected sample about houses can make the target user's load small. Through the experiment, it is confirm that the system has the same degree of satisfaction as the usual system, and the load of the user in the system is less than the one in usual system.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.7 （2016） 特集：平成27年電子・情報・システム部門大会

本誌掲載ページ: 977-985 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/136/7/136_977/_article/-char/ja/