{"created":"2021-03-01T06:01:00.429859+00:00","id":8678,"links":{},"metadata":{"_buckets":{"deposit":"dec610d5-47c6-4e0b-8537-4dd17a6649b8"},"_deposit":{"id":"8678","owners":[],"pid":{"revision_id":0,"type":"depid","value":"8678"},"status":"published"},"_oai":{"id":"oai:kitami-it.repo.nii.ac.jp:00008678","sets":["1:86"]},"author_link":["273","90064","89671","90077","7687","90067","7691","7692"],"item_1646810750418":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_3_alternative_title_198":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Semi-supervised Learning on Recommender System with Transitions of User Classes","subitem_alternative_title_language":"en"}]},"item_3_biblio_info_186":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"22","bibliographicPageStart":"15","bibliographicVolumeNumber":"20","bibliographic_titles":[{"bibliographic_title":"バイオメディカル・ファジィ・システム学会誌"},{"bibliographic_title":"Journal of Biomedical Fuzzy Systems Association","bibliographic_titleLang":"en"}]}]},"item_3_description_184":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"従来研究では，顧客クラスが変化する推薦システムを表現する確率モデルとしてマルコフ決定過程が採用され，マルコフ決定過程の真のパラメータが既知の仮定のもとで検討されている．本研究では，真のパラメータが未知の仮定のもとで顧客クラスが変化する推薦システムにおける半教師付き学習方法を提案する．学習データは完全データと不完全データによって構成される．提案方法ではEMアルゴリズムを用いる．シミュレーションによって提案方法の有効性を示す．","subitem_description_type":"Abstract"},{"subitem_description":"Markov decision processes(MDP) are applied to recommender system with transitions of user classes. In previous research the true parameters of MDP are known. In this research we propose a semi-supervised learning method for recommender system with transitions of user classes under the condition that the true parameters are unknown. Learning data consist of complete data and incomplete data. In the proposed method EM algorithm is used. The effectiveness of the proposed method is shown by some simulations.","subitem_description_type":"Abstract"}]},"item_3_publisher_212":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"バイオメディカル・ファジィ・システム学会"}]},"item_3_rights_192":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"c 2018 Biomedical Fuzzy Systems Association"}]},"item_3_select_195":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_3_source_id_187":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2424-2578","subitem_source_identifier_type":"PISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"前田, 康成","creatorNameLang":"ja"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"山内, 翔","creatorNameLang":"ja"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木, 正清","creatorNameLang":"ja"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"松嶋, 敏泰","creatorNameLang":"ja"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"MAEDA, Yasunari","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yamauchi, Sho","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"SUZUKI, Masakiyo","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"MATSUSHIMA, Toshiyasu","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":"2018-12-11"}],"displaytype":"detail","filename":"顧客クラスが変化する推薦システムにおける半教師付き学習.pdf","filesize":[{"value":"2.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"顧客クラスが変化する推薦システムにおける半教師付き学習","url":"https://kitami-it.repo.nii.ac.jp/record/8678/files/顧客クラスが変化する推薦システムにおける半教師付き学習.pdf"},"version_id":"124cbdbe-08e8-4145-929c-cd852f354da7"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"推薦システム","subitem_subject_scheme":"Other"},{"subitem_subject":"マルコフ決定過程","subitem_subject_scheme":"Other"},{"subitem_subject":"顧客クラス","subitem_subject_scheme":"Other"},{"subitem_subject":"半教師付き学習","subitem_subject_scheme":"Other"},{"subitem_subject":"recommender system","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Markov decision processes","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"user class","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"semi-supervised learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"顧客クラスが変化する推薦システムにおける半教師付き学習","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"顧客クラスが変化する推薦システムにおける半教師付き学習","subitem_title_language":"ja"},{"subitem_title":"Semi-supervised Learning on Recommender System with Transitions of User Classes","subitem_title_language":"en"}]},"item_type_id":"3","owner":"1","path":["86"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2018-12-11"},"publish_date":"2018-12-11","publish_status":"0","recid":"8678","relation_version_is_last":true,"title":["顧客クラスが変化する推薦システムにおける半教師付き学習"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-12-13T02:23:25.637335+00:00"}