{"updated":"2025-01-19T11:41:28.274914+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00228864","sets":["934:989:11239:11352"]},"path":["11352"],"owner":"44499","recid":"228864","title":["POSデータを用いた注文傾向の抽出による店舗クラスタ分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-10-31"},"_buckets":{"deposit":"ca777bee-eee9-4517-9bd6-748ce761220e"},"_deposit":{"id":"228864","pid":{"type":"depid","value":"228864","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"POSデータを用いた注文傾向の抽出による店舗クラスタ分析","author_link":["614404","614405","614402","614407","614401","614400","614408","614409","614411","614403","614406","614410"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"POSデータを用いた注文傾向の抽出による店舗クラスタ分析"},{"subitem_title":"Store Cluster Analysis by Extracting Order Trends Using POS Data","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[事例紹介論文] POSデータ，注文傾向，非負値行列因子分解，クラスタリング","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2023-10-31","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋工業大学／現在，株式会社豊田自動織機"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"中部大学"},{"subitem_text_value":"名古屋工業大学"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nagoya Institute of Technology / Presently with TOYOTA INDUSTRIES CORPORATION","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Chubu University","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","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/228864/files/IPSJ-TOM1602012.pdf","label":"IPSJ-TOM1602012.pdf"},"date":[{"dateType":"Available","dateValue":"2025-10-31"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TOM1602012.pdf","filesize":[{"value":"824.7 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"3f3632f7-e95b-4869-bc78-16b14124a35e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"安井, 彰悟"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"武藤, 敦子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"島, 孔介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森山, 甲一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松井, 藤五郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"犬塚, 信博"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shogo, Yasui","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Atsuko, Mutoh","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kosuke, Shima","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Koichi, Moriyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tohgoroh, Matsui","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobuhiro, Inuzuka","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11464803","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7780","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"消費者の購買行動を分析する技術としてPOSデータ分析がある．商品の売り上げ向上のために小売店の売り上げ全体におけるジャンル別の商品売上割合をもとに店舗をクラスタリングし，クラスタ内の店舗で扱う商品や立地等傾向を明らかにする手法がある．しかし，飲食店においては売り上げだけではなく顧客個人の注文方法に傾向がみられる．そこで本研究では，レシートごとの注文から非負値行列因子分解を用いて注文傾向を抽出し店舗の分類を行う手法を提案する．この手法では頻出する注文傾向で店舗を分類するため，店舗のニーズと立地・環境との関連性の特定に活用が可能になる．実験では，実店舗である飲食店のPOSデータに対して本提案手法を適用し有効性を確認した．","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"POS data analysis is a technique for analyzing consumer purchasing behavior. In order to improve product sales, there is a technique for clustering stores based on the ratio of product sales by genre to total retail store sales, and clarifying the relationship between location and the tendency to order at stores within a cluster. However, in restaurants, the trend is not in the number of product sales, but in the content of individual customer orders. In this study, we propose a method to classify stores by extracting ordering trends from the orders of each receipt using non-negative matrix factorization. Since this method classifies stores based on frequently occurring order trends, it can be used to identify the relationship between store needs and location/environment. In an experiment, we applied the proposed method to POS data of several restaurants and confirmed its effectiveness. ","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"117","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌数理モデル化と応用（TOM）"}],"bibliographicPageStart":"110","bibliographicIssueDates":{"bibliographicIssueDate":"2023-10-31","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"16"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:27:59.892229+00:00","id":228864,"links":{}}