{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214716","sets":["6504:10735:10805"]},"path":["10805"],"owner":"44499","recid":"214716","title":["非負値多重行列因子分解による購買および TV視聴パターンの可視化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"1167ae7f-1c53-4d03-bf83-6208d12cd15b"},"_deposit":{"id":"214716","pid":{"type":"depid","value":"214716","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"非負値多重行列因子分解による購買および TV視聴パターンの可視化","author_link":["552006","552005","552002","552004","552003"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"非負値多重行列因子分解による購買および TV視聴パターンの可視化"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","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":"名工大"},{"subitem_text_value":"名工大"},{"subitem_text_value":"名工大"},{"subitem_text_value":"中部大"},{"subitem_text_value":"名工大"}]},"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/214716/files/IPSJ-Z83-5J-08.pdf","label":"IPSJ-Z83-5J-08.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-5J-08.pdf","filesize":[{"value":"689.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"4f5f710a-118d-4bb1-ac29-2ab161ed9758","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_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":"森山, 甲一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松井, 藤五郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"犬塚, 信博"}],"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":"本研究では，小島らの非負値多重行列因子分解とクラスタリングを用いたユーザ行動パターン抽出方法における，因子分解結果からクラスタ内ユーザの行動特徴を解釈するのが複雑であるという問題に対して，因子行列と各クラスタ中心のユーザの因子寄与度を掛け合わせることによって，クラスタ内ユーザの行動特徴を可視化する手法を提案する。その後，従来手法と同様に，クラスタ内ユーザの個人属性を決定木学習することで，行動特徴と個人属性の関係性について分析する。最後に，ユーザの商品の購買と，TV視聴時間帯の関係性について本手法を用いて分析を行い，有効性を確認する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"216","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"215","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214716,"updated":"2025-01-19T16:30:07.314070+00:00","links":{},"created":"2025-01-19T01:15:31.072278+00:00"}