{"links":{},"id":221083,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00221083","sets":["6504:11035:11043"]},"path":["11043"],"owner":"44499","recid":"221083","title":["複数の施策を対象とした処置効果推定手法に関する一考察"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"2414c2bd-ed16-4af5-b7ea-14369d4880a0"},"_deposit":{"id":"221083","pid":{"type":"depid","value":"221083","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"複数の施策を対象とした処置効果推定手法に関する一考察","author_link":["578648","578647","578646","578649"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"複数の施策を対象とした処置効果推定手法に関する一考察"}]},"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":"2022-02-17","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":"早大"},{"subitem_text_value":"早大"},{"subitem_text_value":"早大"},{"subitem_text_value":"早大"}]},"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/221083/files/IPSJ-Z84-2V-01.pdf","label":"IPSJ-Z84-2V-01.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-2V-01.pdf","filesize":[{"value":"352.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"1600ccad-dfd1-43bd-916f-eefe3d741ab0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"坪井, 優樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"阪井, 優太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"清水, 良太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"後藤, 正幸"}],"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":"企業がマーケティング施策を講じる際、適切な効果検証を行い、適切な意思決定につなげることは非常に重要な課題であり、行動履歴データを活用した効果検証によるデータ駆動型マーケティングへの期待が高まっている。近年では、複数の種類の施策を同期間に実施する場合が多く、このような状況においても施策ごとの効果を正しく推定及び検証できる手法がマーケティング戦略立案のために求められている。そこで本研究では、複数種類の施策効果を同時に推定可能な手法を活用し、ファッションECサイト内のバナー広告の効果の推定及び分析を行う。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"690","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"689","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:21:05.900162+00:00","updated":"2025-01-19T14:18:22.749248+00:00"}