旅行地のイメージから連想する旅行情報の検索システム

Material type: 文書・図像類

Author: 金澤, 裕也ほか

Publisher: 慶應義塾大学湘南藤沢学会

Publication date: 2012

Material Format: Digital

Capacity, size, etc.: -

NDC: -

View All

Notes on use

Note (General)：: type:textPeople used to find the destination that conforms to their image with watching pamphlets. Recently, most of them use Internet to find destina...

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

List of Cooperating Institutions and Databases

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

Keio Associated Repository of Academic resources
Digital
You can check the holdings of institutions and databases with which 学術機関リポジトリデータベース（IRDB）（機関リポジトリ） is linked at the site of 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）.
Keio Associated Repository of Academic resources

Search by Bookstore

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type: 文書・図像類
Title: 旅行地のイメージから連想する旅行情報の検索システム
Author/Editor: 金澤, 裕也
天笠, 邦一
小川, 克彦
日高, 洋祐
Author Heading: 金澤, 裕也
天笠, 邦一
小川, 克彦
日高, 洋祐
Publication, Distribution, etc.: 慶應義塾大学湘南藤沢学会
Publication Date: 2012
Publication Date (W3CDTF): 2012
Alternative Title: リョコウチノイメージカラレンソウスルリョコウジョウホウノケンサクシステム
Ryokochi no imeji kara rensosuru ryoko joho no kensaku shisutemu
Periodical title: 交通運輸情報プロジェクトレビュー
No. or year of volume/issue: 21
Volume: 21
Pages: 30-35
Text Language Code: jpn
eng
Subject Heading: Information Retrieval,Destination Image,and Associative Retrieval
Target Audience: 一般
Note (General): type:text
People used to find the destination that conforms to their image with watching pamphlets. Recently, most of them use Internet to find destination. However they can't reflect the image to the result in general retrieval system of destination. In this paper we propose the new retrieval method to search destination, using feature vectors and photo queries. We found out the impression words that are suitable to express destination image. And we evaluate the quality of this system by comparing with conventional system.
2012年度慶應義塾大学JR東日本寄附講座報告書慶應義塾大学交通運輸情報プロジェクトその1 : JR東日本寄附講座担当教員の活動報告
identifier:SFC-RM2013-003
identifier:請求記号: 090@KE1@61-21
Source: https://koara.lib.keio.ac.jp/xoonips/modules/xoonips/download.php?koara_id=KO92001006-00000021-0030
https://koara.lib.keio.ac.jp/xoonips/modules/xoonips/download.php?koara_id=KO92001006-00000021-0030
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 慶應義塾大学 : 慶應義塾大学学術情報リポジトリ