{"links":{},"id":195625,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00195625","sets":["1164:6389:9696:9769"]},"path":["9769"],"owner":"44499","recid":"195625","title":["ふんわりサーチ：個人の嗜好を考慮した「おいしさ」情報提示による飲食店推薦システム"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-05-02"},"_buckets":{"deposit":"7728fce5-9d8e-4693-a047-d9e509dc8dde"},"_deposit":{"id":"195625","pid":{"type":"depid","value":"195625","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ふんわりサーチ：個人の嗜好を考慮した「おいしさ」情報提示による飲食店推薦システム","author_link":["466221","466220","466219"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ふんわりサーチ：個人の嗜好を考慮した「おいしさ」情報提示による飲食店推薦システム"},{"subitem_title":"Fluffy Search: Restaurant Recommendation System by “Palatability” Information Based on Personal Preferences","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2019-05-02","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"和歌山大学システム工学部"},{"subitem_text_value":"和歌山大学システム工学部"},{"subitem_text_value":"公立諏訪東京理科大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Systems Engineering, Wakayama University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Systems Engineering, Wakayama University","subitem_text_language":"en"},{"subitem_text_value":"Suwa University of Science","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/195625/files/IPSJ-SPT19033013.pdf","label":"IPSJ-SPT19033013.pdf"},"date":[{"dateType":"Available","dateValue":"2021-05-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SPT19033013.pdf","filesize":[{"value":"2.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"46"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"940f7f0c-ea5f-4e2f-a691-1b0e83922bf1","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"吉野, 孝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森田, 真季"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"宮部, 真衣"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628305","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8671","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"外食時の店選びで重視される要素の一つに「料理の味」がある．本研究では，飲食店情報の提供サービスにおいて，料理の味，特に「おいしさ」の情報を提供することを考え，「もちもち」や「サクサク」等，食品のおいしさを表す語句であるシズルワードに着目する．シズルワードは，商品パッケージや広告，口コミ情報などにおいて，おいしさを表現する際に用いられている．飲食店の口コミ情報などから，シズルワードを抽出することができれば，飲食店で提供されている料理の食感や匂いなどのおいしさ情報をわかりやすく表現し，店選びの参考になる情報として提供できる可能性がある．また，近年，Twitterなどのマイクロブログで様々な情報発信がなされており，リアルタイム性の高いマイクロブログから情報を抽出・提供することで，「掲載情報が古い」という，従来の課題を解決できる可能性がある．そこで本研究では，ユーザの嗜好を考慮し，最新の情報を提示可能な飲食店検索の実現に向け，シズルワードとマイクロブログに着目した飲食店情報推薦システム「ふんわりサーチ」の開発と実験を行った．ふんわりサーチの評価にあたって，本システムと既存システムのそれぞれにおいて飲食店を検索する評価実験を実施し，本システムの有用性について検証を行った．本稿では，評価実験の結果について報告する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告セキュリティ心理学とトラスト（SPT）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-05-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"13","bibliographicVolumeNumber":"2019-SPT-33"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:00:32.490121+00:00","updated":"2025-01-19T23:01:46.360523+00:00"}