{"id":2006031,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02006031","sets":["1164:1743124304038:1743124498358:1764305913205"]},"path":["1764305913205"],"owner":"80578","recid":"2006031","title":["ライフプラン設計のための日本家計パネル調査を用いた幸福度予測モデルの構築"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-12-12"},"_buckets":{"deposit":"cd5de2d7-b32b-4182-988a-b3d42719ef3e"},"_deposit":{"id":"2006031","pid":{"type":"depid","value":"2006031","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"ライフプラン設計のための日本家計パネル調査を用いた幸福度予測モデルの構築","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ライフプラン設計のための日本家計パネル調査を用いた幸福度予測モデルの構築","subitem_title_language":"ja"},{"subitem_title":"Construction of a Happiness Prediction Model Using the Japanese Household Panel Survey for Life Planning Design","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"DBS","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2025-12-12","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"工学院大学情報学部システム数理学科"},{"subitem_text_value":"工学院大学情報学部システム数理学科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kogakuin University","subitem_text_language":"en"},{"subitem_text_value":"Kogakuin University","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/2006031/files/IPSJ-DBS25182004.pdf","label":"IPSJ-DBS25182004.pdf"},"date":[{"dateType":"Available","dateValue":"2027-12-12"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DBS25182004.pdf","filesize":[{"value":"968.8 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":"13"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"79229bc0-9519-4809-8e0e-20f1c55ffdba","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"滝澤,賢人"}]},{"creatorNames":[{"creatorName":"北山,大輔"}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AB0006854X","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2760-0777","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"将来設計を考えるとき，最終的に最大の幸福を得るための，現在取るべき行動を知ることが望まれる場合がある．例えば，現状が「独身かつ付き合っている人がいる」人は，「その人と結婚する」ことで幸福になるか，現状が「就職氷河期世代」の人は「転職する」ことで幸福になるかといったことである．本研究ではこれに応えるような幸福度予測モデルを，相関ルールマイニング及び独自に考案した幸福推定手法により構築した．その結果として，モデルのユーザが幸福度を最大にするための最適な行動を知ることができるようになり，また同時に，ユーザの属性に応じて幸福度に影響する行動がどう変わるのかを考察できるようになった．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"When considering future plans, there are times when one desires to know the actions to take now that will ultimately lead to the greatest happiness. For example, whether someone currently “single but in a relationship” would become happier by “marrying that person,” or whether someone currently part of the “employment ice age generation” would become happier by“changing jobs.” This study constructed a happiness prediction model to address this need, utilizing correlation rule mining and a novel happiness estimation method. As a result, users of the model can now identify the optimal actions to maximize their happiness. Simultaneously, the model enables examination of how actions affecting happiness change depending on the user's attributes.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告データベースとデータサイエンス（DBS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-12-12","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"2025-DBS-182"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"updated":"2025-11-28T07:19:01.769337+00:00","created":"2025-11-28T07:18:56.971545+00:00","links":{}}