{"created":"2025-08-18T04:52:20.375141+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02003649","sets":["6164:6165:7308:1755491683974"]},"path":["1755491683974"],"owner":"11","recid":"2003649","title":["SNSの投稿からユーザの嗜好を学習したLLMによるライブ配信ダイジェスト生成システム"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-08-18"},"_buckets":{"deposit":"f4927d55-e4c7-428f-80b6-fbafbdd28f89"},"_deposit":{"id":"2003649","pid":{"type":"depid","value":"2003649","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"SNSの投稿からユーザの嗜好を学習したLLMによるライブ配信ダイジェスト生成システム","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"SNSの投稿からユーザの嗜好を学習したLLMによるライブ配信ダイジェスト生成システム","subitem_title_language":"ja"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2025-08-18","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"駒澤大学"},{"subitem_text_value":"駒澤大学"},{"subitem_text_value":"駒澤大学"},{"subitem_text_value":"駒澤大学"}]},"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/2003649/files/IPSJ-EC2025003.pdf","label":"IPSJ-EC2025003.pdf"},"date":[{"dateType":"Available","dateValue":"2025-08-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-EC2025003.pdf","filesize":[{"value":"2.6 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"40"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b0975cea-31e7-4d2f-a45d-4af9795be76d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"植野,天翔"}]},{"creatorNames":[{"creatorName":"加藤,卓哉"}]},{"creatorNames":[{"creatorName":"青柳,西蔵"}]},{"creatorNames":[{"creatorName":"平井,辰典"}]}]},"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年人気のライブ配信は長時間で視聴しにくく，見所をまとめた切り抜き動画も作られているが，画一的で個々の関心に合わない問題がある．本研究では，ユーザの嗜好に合ったダイジェスト動画を生成するため，ユーザのSNS 投稿を用いて大規模言語モデルをファインチューニングし，ユーザの嗜好を学習したモデルを作成する．このモデルを用いて，ライブ配信のチャットや文字起こしデータを分析し，ユーザの関心に合致したダイジェスト動画を生成する．主観評価実験の結果，本手法で生成したダイジェスト動画は，無作為に抽出された動画や他ユーザ向けに生成された動画と比較して，ユーザの嗜好に合致することが示され，本手法の有効性を確認した．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"27","bibliographic_titles":[{"bibliographic_title":"エンタテインメントコンピューティングシンポジウム2025論文集"}],"bibliographicPageStart":"20","bibliographicIssueDates":{"bibliographicIssueDate":"2025-08-18","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2025"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":2003649,"updated":"2025-08-18T05:28:52.628236+00:00","links":{}}