{"created":"2025-01-19T01:46:48.212157+00:00","updated":"2025-01-19T07:21:50.902002+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00241911","sets":["581:11839:11840"]},"path":["11840"],"owner":"44499","recid":"241911","title":["ID-POSデータの属性を活用可能とした標準化PI値の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2025-01-15"},"_buckets":{"deposit":"9c57bfdd-613d-4f31-b5c2-976f1a964852"},"_deposit":{"id":"241911","pid":{"type":"depid","value":"241911","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ID-POSデータの属性を活用可能とした標準化PI値の提案","author_link":["666850","666849","666844","666842","666841","666845","666848","666846","666843","666852","666847","666851"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ID-POSデータの属性を活用可能とした標準化PI値の提案"},{"subitem_title":"Proposal of Standardized PI Values that Enable Use of ID-POS Data Attributes","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集:人々の幸福で豊かな暮らしを支えるコラボレーション技術とネットワークサービス] ID-POSデータ，商品リスト作成，PI値，標準化","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2025-01-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"和歌山大学大学院システム工学研究科"},{"subitem_text_value":"和歌山大学システム工学部"},{"subitem_text_value":"株式会社サイバーリンクス"},{"subitem_text_value":"株式会社オークワ"},{"subitem_text_value":"株式会社オークワ"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School 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":"Cyber Links Co., Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Okuwa Co., Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Okuwa Co., Ltd.","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/241911/files/IPSJ-JNL6601009.pdf","label":"IPSJ-JNL6601009.pdf"},"date":[{"dateType":"Available","dateValue":"2027-01-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL6601009.pdf","filesize":[{"value":"1.7 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"4242c417-9cda-4836-baac-de4c3c268455","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"井口, 拓己"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 綾乃"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉野, 孝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松山, 浩士"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"貴志, 祥江"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大西, 剛"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takumi, Iguchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ayano, Nakamura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takashi, Yoshino","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Koji, Matsuyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sachie, Kishi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takeshi, Onishi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","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_2_publisher_15":{"attribute_name":"公開者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"小売店で買い物を行う顧客は店舗内において，購買意思の決定率が高い．顧客の店舗内での購買意思決定率の高い場合，品揃えなどの店舗内での商品の情報提供がより店舗の売上に貢献すると考えられるため，適した店舗内の売り場づくりを考慮することが重要である．そこで，我々はバイヤーが作成する商品リストに着目した．従来の商品リストの作成手法では，バイヤーの経験に依存していることや，世の中にある大量の商品から店舗に適した商品を選出することは困難であるという問題点がある．そこで我々は，商品の潜在的な特徴をとらえることで商品選定の意思決定補助になると考えた．本研究では，PI値とID-POSデータに格納されている顧客情報に着目した．ID-POSデータをデモグラフィック情報としてとらえ直し，従来の売上数量PI値だけでなく，性別PI値などの属性ごとにPI値を算出する．そして，各属性のPI値を標準化した「標準化PI値」という新たな概念を提案する．標準化PI値とコサイン類似度を用いて分析することで，潜在的な商品の特徴をとらえることができ，バイヤーの商品選定における意思決定補助の可能性があることが分かった．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Customers who shop at retail stores have a high rate of purchase decision making in the store. When customers have a high in-store purchase decision rate, it is important to consider the creation of a suitable in-store sales area, because providing information about products in the store, such as product assortment, is thought to contribute more to store sales. Therefore, we focused on the product lists created by buyers. Conventional methods for creating product lists have the problems that they rely on the buyer's experience and that it is difficult to select suitable products for a store from a large number of products available in the world. Therefore, we thought that capturing the latent characteristics of products would be a decision-making aid in product selection. In this study, we focused on PI values and customer information stored in ID-POS data. We reconsider ID-POS data as demographic information and calculate PI values for each attribute, such as gender PI values, in addition to the conventional sales quantity PI values. We then propose a new concept of “standardized PI value” that standardizes the PI value for each attribute. We found that analysis using standardized PI values and cosine similarity could search for, which could be a potential decision support for buyers in product selection.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"77","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"66","bibliographicIssueDates":{"bibliographicIssueDate":"2025-01-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"66"}]},"relation_version_is_last":true,"item_2_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00241789","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"44499"},"id":241911,"links":{}}