{"created":"2023-07-25T10:08:42.039131+00:00","id":138,"links":{},"metadata":{"_buckets":{"deposit":"828a2937-2999-4354-90c6-c51ae6ed7187"},"_deposit":{"created_by":5,"id":"138","owners":[5],"pid":{"revision_id":0,"type":"depid","value":"138"},"status":"published"},"_oai":{"id":"oai:jobu.repo.nii.ac.jp:00000138","sets":["7:13"]},"author_link":["128","127"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2011-12-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"36","bibliographicPageEnd":"14","bibliographicPageStart":"1","bibliographic_titles":[{"bibliographic_title":"上武大学経営情報学部紀要. 2011, no.36, p.1-14"},{"bibliographic_title":"Jobu Daigaku Keiei Joho Gakubu kiyo (Bulletin of Faculty of Management Information Sciences, Jobu University). 2011, no.36, p.1-14","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本論文では、協調フィルタリング法の利点とコンテンツ分析法の利点を組み合わせた観光地推薦手法の基本的なアイデアについて述べた。本観光地推薦システムでは、（1）観光地の特徴を最もよく表している観光特性を要素にもつ観光地特徴ベクトル、（2）利用者による旅行履歴を要素にもつ利用者履歴ベクトル、（3）利用者が旅行先の選定に重視してきた観光特性を要素にもつ利用者特徴ベクトルを利用している。観光地特徴ベクトルの生成では、コンテンツ分析法の考え方を取り入れ、観光地のもつ観光特性の要素を試験的に16の要素で表現してみた。利用者履歴ベクトルの生成では、利用者にこれまでの旅行履歴を簡易に入力させるため、操作性を考慮したインタフェースをAjaxの技術により試作した。利用者特徴ベクトルの生成では、観光地特徴ベクトルと利用者履歴ベクトルから自動計算して求めるようにした。これらのベクトル生成をもとに、協調フィルタリングの考え方を取り入れ、利用者間の類似度から旅行計画者の嗜好に合った観光地を推薦するものである。\nThis paper describes a recommendation system of tourist site using collaborative filtering method and contents analysis method. This system uses three vectors. (1) The tourist site vector has elements which are expressed tourist resources such as nature, recreation, and so on. (2) The travel history vector has elements which are weighted based on user's travel experience. (3) The feature vector of users has elements which are weighted based on user's favorite tourist resources. The feature vector of user is calculated automatically using the tourist site vector and the travel history vector. The system recommends tourist site from similarity calculation between a travel planner and other users.","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"上武大学経営情報学部"}]},"item_10002_relation_12":{"attribute_name":"論文ID（NAID）","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"110008138756","subitem_relation_type_select":"NAID"}}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0915-5929 1884-7307","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"樽井, 勇之"},{"creatorName":"タルイ, ユウジ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"127","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"TARUI, Yuji","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"128","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-01-31"}],"displaytype":"detail","filename":"730-36-001.pdf","filesize":[{"value":"543.5 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"730-36-001","url":"https://jobu.repo.nii.ac.jp/record/138/files/730-36-001.pdf"},"version_id":"6434b08e-0f9c-4c2e-978e-87f411dbba26"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"観光地","subitem_subject_scheme":"Other"},{"subitem_subject":"情報推薦システム","subitem_subject_scheme":"Other"},{"subitem_subject":"協調フィルタリング法","subitem_subject_scheme":"Other"},{"subitem_subject":"コンテンツ分析法","subitem_subject_scheme":"Other"},{"subitem_subject":"Webアプリケーション","subitem_subject_scheme":"Other"},{"subitem_subject":"Tourist site","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Recommendation System","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Collaborative Filtering Method","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Contents Analysis Method","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Web application","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"協調フィルタリングとコンテンツ分析を利用した観光地推薦手法の検討","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"協調フィルタリングとコンテンツ分析を利用した観光地推薦手法の検討"},{"subitem_title":"Recommendation System of Tourist Site Using Collaborative Filtering Method and Contents Analysis Method","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"5","path":["13"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-01-31"},"publish_date":"2023-01-31","publish_status":"0","recid":"138","relation_version_is_last":true,"title":["協調フィルタリングとコンテンツ分析を利用した観光地推薦手法の検討"],"weko_creator_id":"5","weko_shared_id":-1},"updated":"2023-07-25T10:14:40.246744+00:00"}