{"created":"2023-05-15T08:43:59.810509+00:00","id":9187,"links":{},"metadata":{"_buckets":{"deposit":"a63dac33-7d3e-47f4-8524-978c7cc9eee1"},"_deposit":{"created_by":13,"id":"9187","owners":[13],"pid":{"revision_id":0,"type":"depid","value":"9187"},"status":"published"},"_oai":{"id":"oai:uec.repo.nii.ac.jp:00009187","sets":["6"]},"author_link":["25132","25131","25130","25133","25135","25134"],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2014-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"288","bibliographicPageStart":"279","bibliographicVolumeNumber":"22","bibliographic_titles":[{},{"bibliographic_title":"Journal of Information Processing","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"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 method using 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. ","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Information Processing Society of Japan (情報処理学会)"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.2197/ipsjjip.22.279","subitem_relation_type_select":"DOI"}}]},"item_10001_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.2197/ipsjjip.22.279","subitem_relation_type_select":"DOI"}}]},"item_10001_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"©2014 Information Processing Society of Japan. Notice for the use of this material The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). This material is published on this web site with the agreement of the author (s) and the IPSJ. Please be complied with Copyright Law of Japan and the Code of Ethics of the IPSJ if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof."}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-6652","subitem_source_identifier_type":"ISSN"}]},"item_10001_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Wang, Mian","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kawamura, Takahiro","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sei, Yuichi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nakagawa, Hiroyuki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tahara, Yasuyuki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ohsuga, Akihiko","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-05-09"}],"displaytype":"detail","filename":"22_279.pdf","filesize":[{"value":"2.8 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"22_279","url":"https://uec.repo.nii.ac.jp/record/9187/files/22_279.pdf"},"version_id":"353fabe8-e03a-46e5-8a05-6d6b0bc3065e"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"context awareness","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"music recommendation","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Linked Data","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Music Recommender Adapting Implicit Context Using ‘renso’ Relation among Linked Data","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_language":"en"}]},"item_type_id":"10001","owner":"13","path":["6"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-05-09"},"publish_date":"2019-05-09","publish_status":"0","recid":"9187","relation_version_is_last":true,"title":["Music Recommender Adapting Implicit Context Using ‘renso’ Relation among Linked Data"],"weko_creator_id":"13","weko_shared_id":-1},"updated":"2023-05-15T10:23:13.388941+00:00"}