{"id":162602,"updated":"2025-01-20T11:43:17.880331+00:00","links":{},"created":"2025-01-19T00:34:38.234040+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00162602","sets":["6504:8672:8736"]},"path":["8736"],"owner":"6748","recid":"162602","title":["機械学習を用いたカクテルの味推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-03-10"},"_buckets":{"deposit":"6a929ea6-f099-4bbf-9c41-5169a8d38fe8"},"_deposit":{"id":"162602","pid":{"type":"depid","value":"162602","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"機械学習を用いたカクテルの味推定","author_link":["317416","317417"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習を用いたカクテルの味推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2016-03-10","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"慶大"},{"subitem_text_value":"慶大"}]},"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/162602/files/IPSJ-Z78-4M-05.pdf","label":"IPSJ-Z78-4M-05.pdf"},"date":[{"dateType":"Available","dateValue":"2016-05-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z78-4M-05.pdf","filesize":[{"value":"202.2 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"41a4bdb0-7041-4404-8ed4-2bfea8a801e8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"武藤, 真弘"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"櫻井, 彰人"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年、様々な手段により料理のレシピを手に入れることができる。しかし膨大なレシピ数の中からユーザーの好みの料理を選ぶのは難しく、結果口にあわないことが起きてしまう。同様に複数の酒や飲料から作るカクテルも組み合わせが膨大であるため、満足しない結果が起こってしまう。そこでユーザーにとって有益な情報を提供するためにレシピ情報から味を推定する。本研究では、一般の料理よりもレシピが単純であるカクテルに注目し、カクテルに関する事前知識を必要とせずに、機械学習を用いて約2200種類のカクテルレシピからカクテルの味を推定する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"142","bibliographic_titles":[{"bibliographic_title":"第78回全国大会講演論文集"}],"bibliographicPageStart":"141","bibliographicIssueDates":{"bibliographicIssueDate":"2016-03-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2016"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}