{"updated":"2025-01-19T07:44:04.657839+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00241132","sets":["1164:6757:11458:11794"]},"path":["11794"],"owner":"44499","recid":"241132","title":["マルチモーダル特徴量を用いたファッションSNSにおける人気度予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-11-22"},"_buckets":{"deposit":"bf36d068-7fc3-4f66-9c7f-c44b5643bb7e"},"_deposit":{"id":"241132","pid":{"type":"depid","value":"241132","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"マルチモーダル特徴量を用いたファッションSNSにおける人気度予測","author_link":["663342","663337","663339","663338","663341","663340"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"マルチモーダル特徴量を用いたファッションSNSにおける人気度予測"},{"subitem_title":"Popularity Prediction on Fashion SNS with Multimodal Features","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-11-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波大学"},{"subitem_text_value":"筑波大学"},{"subitem_text_value":"筑波大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"University of Tsukuba","subitem_text_language":"en"},{"subitem_text_value":"University of Tsukuba","subitem_text_language":"en"},{"subitem_text_value":"University of Tsukuba","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/241132/files/IPSJ-DCC24038030.pdf","label":"IPSJ-DCC24038030.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DCC24038030.pdf","filesize":[{"value":"2.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"50"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"61724040-4033-4ea7-b386-fb21da885ffe","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"岡本, 瞬"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"飯塚, 里志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"福井, 和広"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shun, Okamoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Satoshi, Iizuka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kazuhiro, Fukui","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628338","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":"2188-8868","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，Facebook や X，Flickr などのソーシャルネットワーキングサービス（SNS）が急速に発展している．その中でも，ファッションに関する投稿は，ビジュアルコンテンツに時代や流行が反映されるため，マーケティング戦略の観点からも多くの注目を集めている．しかし，現時点では，ファッション投稿に特化した SNS の人気度予測のための手法は十分に研究されていない．そこで本研究では，日本のファッション SNS「WEAR」から 30 万件以上の投稿データを収集し，投稿されたファッション画像，ハッシュタグ情報，閲覧数，ユーザー情報などを含む新たなファッション SNS データセットを構築する．さらに，視覚言語モデルを用いた，ファッション投稿の意味情報を効果的に抽出する Vision to Fashion Text Annotation (ViFTA) モジュールを導入したファッション SNS の人気度予測フレームワークを提案する．新たなファッション SNS データセットを用いて，提案フレームワークと既存の SNS 人気度予測手法との比較実験を行い，提案フレームワークが最も高い精度を実現することを示す．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In recent years, Social Networking Services (SNS) such as Facebook, X, and Flickr have developed rapidly. Among these, fashion-related posts have gained significant attention from a marketing strategy perspective, as visual content reflects trends and eras. However, to date, methods for predicting the popularity of SNS posts specifically focused on fashion have not been sufficiently researched. In this study, we collect over 300,000 post data from Japan’s fashion SNS “WEAR”, constructing a new fashion SNS dataset that includes fashion images, hashtag information, view counts, and user information. We propose a fashion SNS popularity prediction framework that incorporates a Vision to Fashion Text Annotation (ViFTA) module, which effectively extracts semantic information from fashion posts using visual-language models. Comparative experiments between the proposed framework and existing SNS popularity prediction methods are conducted using the new fashion SNS dataset, demonstrating that the proposed framework achieves the highest accuracy.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告デジタルコンテンツクリエーション（DCC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-11-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"30","bibliographicVolumeNumber":"2024-DCC-38"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":241132,"created":"2025-01-19T01:45:43.511962+00:00"}