{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00100831","sets":["581:7397:7561"]},"path":["7561"],"owner":"11","recid":"100831","title":["Music Recommender Adapting Implicit Context Using ‘renso’ Relation among Linked Data"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-04-15"},"_buckets":{"deposit":"2d5a931e-dae3-427e-b7bc-ea8bbdad8c34"},"_deposit":{"id":"100831","pid":{"type":"depid","value":"100831","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Music Recommender Adapting Implicit Context Using ‘renso’ Relation among Linked Data","author_link":["358874","358875","358877","358868","358873","358867","358878","358869","358876","358872","358870","358871"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Music Recommender Adapting Implicit Context Using ‘renso’ Relation among Linked Data"},{"subitem_title":"Music Recommender Adapting Implicit Context Using ‘renso’ Relation among Linked Data","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：Multiagent-based Societal Systems] context awareness, music recommendation, Linked Data","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2014-04-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"University of Electro-Communications"},{"subitem_text_value":"University of Electro-Communications／Toshiba Corporation"},{"subitem_text_value":"University of Electro-Communications"},{"subitem_text_value":"University of Electro-Communications"},{"subitem_text_value":"University of Electro-Communications"},{"subitem_text_value":"University of Electro-Communications"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"University of Electro-Communications / Toshiba Corporation","subitem_text_language":"en"},{"subitem_text_value":"University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"University of Electro-Communications","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"publish_status":"0","weko_shared_id":11,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/100831/files/IPSJ-JNL5504014.pdf","label":"IPSJ-JNL5504014"},"date":[{"dateType":"Available","dateValue":"2016-04-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5504014.pdf","filesize":[{"value":"2.8 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"974f23bc-3692-4e1f-9fcc-8726bc3af58c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Mian, Wang"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takahiro, Kawamura"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuichi, Sei"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroyuki, Nakagawa"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yasuyuki, Tahara"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akihiko, Ohsuga"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Mian, Wang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takahiro, Kawamura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuichi, Sei","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroyuki, Nakagawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yasuyuki, Tahara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akihiko, Ohsuga","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"The existing music recommendation systems rely on user's contexts or content analysis to satisfy the users' music playing needs. They achieved a certain degree of success and inspired future researches to get more progress. However, a cold start problem and the limitation to the similar music have been pointed out. Therefore, this paper proposes a unique recommendation methodusing a ‘renso’ alignment among Linked Data, aiming to realize the music recommendation agent in smartphone. We first collect data from Last.fm, Yahoo! Local, Twitter and LyricWiki, and create a large scale of Linked Open Data (LOD), then create the ‘renso’ relation on the LOD and select the music according to the context. Finally, we confirmed an evaluation result demonstrating its accuracy and serendipity.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.22(2014) No.2 (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.22.279\n------------------------------","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The existing music recommendation systems rely on user's contexts or content analysis to satisfy the users' music playing needs. They achieved a certain degree of success and inspired future researches to get more progress. However, a cold start problem and the limitation to the similar music have been pointed out. Therefore, this paper proposes a unique recommendation methodusing a ‘renso’ alignment among Linked Data, aiming to realize the music recommendation agent in smartphone. We first collect data from Last.fm, Yahoo! Local, Twitter and LyricWiki, and create a large scale of Linked Open Data (LOD), then create the ‘renso’ relation on the LOD and select the music according to the context. Finally, we confirmed an evaluation result demonstrating its accuracy and serendipity.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.22(2014) No.2 (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.22.279\n------------------------------","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2014-04-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"55"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:46:32.312079+00:00","updated":"2025-01-20T06:46:26.265234+00:00","id":100831}