{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230825","sets":["6504:11436:11444"]},"path":["11444"],"owner":"44499","recid":"230825","title":["興味対象記事ヘッドラインの推薦アルゴリズムの提案 - 文意ベクトル間距離に基づく推定 -"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"1f7fadf3-bb4d-4eb2-aef4-1d84e929f51e"},"_deposit":{"id":"230825","pid":{"type":"depid","value":"230825","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"興味対象記事ヘッドラインの推薦アルゴリズムの提案 - 文意ベクトル間距離に基づく推定 -","author_link":["622443","622441","622442","622444"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"興味対象記事ヘッドラインの推薦アルゴリズムの提案 - 文意ベクトル間距離に基づく推定 -"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","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":"愛媛大"},{"subitem_text_value":"愛媛大"},{"subitem_text_value":"愛媛大"},{"subitem_text_value":"愛媛大"}]},"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/230825/files/IPSJ-Z85-2ZH-01.pdf","label":"IPSJ-Z85-2ZH-01.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-2ZH-01.pdf","filesize":[{"value":"1.7 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"428af06b-22d9-4a15-a943-a3d336c5d5fd","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"寺田, 智哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小川, 拓也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"遠藤, 慶一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小林, 真也"}],"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":"インターネットニュースにおける情報過多問題を解決するために，個人の興味を学習し，それを考慮した情報提供を行う個人向け情報配信システムPINOTを開発した．このシステムでは，ユーザの操作から興味を類推し，興味の学習を行う．しかし，記事文に多義語が含まれる場合，記事に対する興味類推を誤る可能性がある．　本稿では記事文に対して，分布仮説に基づいて単語や文をベクトルで表現できる自然言語処理モデルを用いる．このベクトルには，文意といった特徴が表現されている．そして，類似性を表す尺度であるコサイン類似度を用いて，ユーザが興味ある記事に対して，ベクトル間が近い記事を，興味ある記事と類推し，推薦する．また，従来法と比較し，記事推薦の性能について評価を行う．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"580","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"579","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230825,"updated":"2025-01-19T10:59:13.924647+00:00","links":{},"created":"2025-01-19T01:30:49.411798+00:00"}