{"created":"2025-01-19T01:29:44.241943+00:00","updated":"2025-01-19T11:16:12.814516+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230149","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230149","title":["Watson Assistantを用いたサイトレビューによる参考書の難易度推定手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"7283583d-8e63-44da-aa7c-277355340b50"},"_deposit":{"id":"230149","pid":{"type":"depid","value":"230149","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Watson Assistantを用いたサイトレビューによる参考書の難易度推定手法","author_link":["619187"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Watson Assistantを用いたサイトレビューによる参考書の難易度推定手法"}]},"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":"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":"電通大"}]},"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/230149/files/IPSJ-Z85-4V-06.pdf","label":"IPSJ-Z85-4V-06.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4V-06.pdf","filesize":[{"value":"180.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"0b37066f-7dc6-4ec9-88ed-5eb80fc3ebc8","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":"ムハンマドファウザン, マーフー"}],"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":"参考書の推薦システムでは、ユーザと最も適している参考書を推薦することが目的である。ユーザの知識レベルより高い参考書を推薦しまうと、ユーザがその参考書を理解できない可能性があり、時間が無駄になってしまう。そのため、参考書を推薦する際に、ユーザが望んでいる難易度を理解し、参考書の難易度データベースから適している難易度を持つ参考書を勧めた方がよい。しかし、手動で多くの参考書の難易度データベースを作成するために手間がかかるため、自動的に難易度データを生成するのが望ましい。本研究ではAmazonなどのECサイトに搭載している参考書のレビューを分析し、その参考書の難易度を推定する手法を導入する。ECサイトレビューはIBMで提供している自然言語処理サービスのWatson Assistantで分析し、ある参考書の難易度スコアを計算する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"724","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"723","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230149,"links":{}}