{"created":"2025-01-19T01:36:46.280314+00:00","updated":"2025-01-19T09:40:48.159883+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00234890","sets":["1164:2735:11468:11669"]},"path":["11669"],"owner":"44499","recid":"234890","title":["乱択化フーリエ潜在変数モデルによるユーザー選好の埋め込みと分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-06-13"},"_buckets":{"deposit":"dd68f8b6-211d-4cb6-bc49-7ee90a84118f"},"_deposit":{"id":"234890","pid":{"type":"depid","value":"234890","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"乱択化フーリエ潜在変数モデルによるユーザー選好の埋め込みと分析","author_link":["640917","640919","640918","640916"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"乱択化フーリエ潜在変数モデルによるユーザー選好の埋め込みと分析"},{"subitem_title":"Random Fourier feature latent variable model for user preference embedding and analysis","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"機械学習・一般","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-06-13","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"総合研究大学院大学／mercari R4D"},{"subitem_text_value":"統計数理研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The Graduate University for Advanced Studies / mercari R4D","subitem_text_language":"en"},{"subitem_text_value":"The Institute of Statistical Mathematics","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/234890/files/IPSJ-MPS24148003.pdf","label":"IPSJ-MPS24148003.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS24148003.pdf","filesize":[{"value":"1.9 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"94d27271-cf60-4cf8-aec1-2c32a6e697b4","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":"竹原, 一彰"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"持橋, 大地"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazuaki, Takehara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Daichi, Mochihashi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","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":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"アイテムに対するユーザーの選好（好き・嫌いの度合い）を可視化・分析するためのモデルを提案する．提案モデルは，高次元なアイテム特徴量と，多数のユーザーによる評価ラベルを入力として，視覚可能な低次元潜在空間における，アイテムの座標と，ユーザーの選好関数を表す重みベクトル（ユーザー埋め込み）を出力する．自由度が制限された低次元潜在空間に，様々な情報を埋め込むという課題に，乱択化フーリエ特徴量を用いた解決を試みる．公開されている実データセットを用いた評価実験にて，良好な結果を確認した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose a model to visualize and analyze user preferences (degrees of liking or disliking) for items. The proposed model takes high-dimensional item features and rating labels from a large number of users as input and outputs item coordinates in a visually interpretable low-dimensional latent space and weight vectors (user embeddings) representing user preference functions. To address the challenge of embedding various information into a constrained low-dimensional latent space, we adopt a solution using Random Fourier features. In evaluation experiments using publicly available real-world datasets, we confirmed favorable results.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-06-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2024-MPS-148"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":234890,"links":{}}