{"created":"2023-06-19T10:29:56.403117+00:00","id":10030,"links":{},"metadata":{"_buckets":{"deposit":"60b76351-8d25-41ea-aa8b-d1366d258b17"},"_deposit":{"created_by":18,"id":"10030","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"10030"},"status":"published"},"_oai":{"id":"oai:muroran-it.repo.nii.ac.jp:00010030","sets":["216:240","46"]},"author_link":["56543","58365","55165","907"],"item_79_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-05-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicPageStart":"1928","bibliographicVolumeNumber":"9","bibliographic_titles":[{"bibliographic_title":"Applied Science","bibliographic_titleLang":"en"}]}]},"item_79_description_23":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_79_description_7":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Recommender systems (RS) analyze user rating information and recommend items that may interest users. Item-based collaborative filtering (IBCF) is widely used in RSs. However, traditional IBCF often cannot provide recommendations with good predictive and classification accuracy at the same time because it assigns equal weights to all items when computing similarity and prediction. However, some items are more relevant and should be assigned greater weight. To address this problem, we propose a niche approach to realize item-variance weighting in IBCF in this paper. In the proposed approach, to improve the predictive accuracy, a novel time-related correlation degree is proposed and applied to form time-aware similarity computation, which can estimate the relationship between two items and reduce the weight of the item rated over a long period. Furthermore, a covering-based rating prediction is proposed to increase classification accuracy, which combines the relationship between items and the target user’s preference into the predicted rating scores. Experimental results suggest that the proposed approach outperforms traditional IBCF and other existing work and can provide recommendations with satisfactory predictive and classification accuracy simultaneously. ","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_79_link_17":{"attribute_name":"出版者版へのリンク","attribute_value_mlt":[{"subitem_link_text":"10.3390/app9091928","subitem_link_url":"https://doi.org/10.3390/app9091928"}]},"item_79_link_5":{"attribute_name":"室蘭工業大学研究者データベースへのリンク","attribute_value_mlt":[{"subitem_link_text":"工藤 康生（KUDO Yasuo）","subitem_link_url":"http://rdsoran.muroran-it.ac.jp/html/100000129_ja.html"}]},"item_79_publisher_11":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MDPI","subitem_publisher_language":"en"}]},"item_79_relation_18":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.3390/app9091928","subitem_relation_type_select":"DOI"}}]},"item_79_relation_22":{"attribute_name":"主となる版","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.mdpi.com/2076-3417/9/9/1928/pdf","subitem_relation_type_select":"URI"}}]},"item_79_rights_19":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2019 by the authors; licensee MDPI AG, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).","subitem_rights_language":"en"}]},"item_79_source_id_12":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2076-3417","subitem_source_identifier_type":"EISSN"}]},"item_79_subject_9":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007","subitem_subject_scheme":"NDC"}]},"item_79_version_type_21":{"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_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":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"張, 志鵬","creatorNameLang":"ja"},{"creatorName":"ZHANG, Zhipeng","creatorNameLang":"en"}],"familyNames":[{},{}],"givenNames":[{},{}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{}],"affiliationNames":[{},{}]}],"creatorNames":[{"creatorName":"Kudo,  Yasuo","creatorNameLang":"en"},{"creatorName":"クドウ, ヤスオ","creatorNameLang":"ja-Kana"},{"creatorName":"工藤, 康生","creatorNameLang":"ja"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"村井, 哲也","creatorNameLang":"ja"},{"creatorName":"MURAI, Tetsuya","creatorNameLang":"en"},{"creatorName":"ムライ, テツヤ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"REN, Yong-Gong","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":"2019-08-22"}],"displaytype":"detail","filename":"APPLSCI_9_9_1928.pdf","filesize":[{"value":"1.4 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"APPLSCI_9_9_1928","objectType":"fulltext","url":"https://muroran-it.repo.nii.ac.jp/record/10030/files/APPLSCI_9_9_1928.pdf"},"version_id":"1c465e1c-50e2-4672-8929-1f152d87d938"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"recommender system","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"item-based collaborative filtering","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"predictive accuracy","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"classification accuracy","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"item-variance weighting","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":"Enhancing Recommendation Accuracy of Item-Based Collaborative Filtering via Item-Variance Weighting","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Enhancing Recommendation Accuracy of Item-Based Collaborative Filtering via Item-Variance Weighting","subitem_title_language":"en"}]},"item_type_id":"79","owner":"18","path":["46","240"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2019-08-22"},"publish_date":"2019-08-22","publish_status":"0","recid":"10030","relation_version_is_last":true,"title":["Enhancing Recommendation Accuracy of Item-Based Collaborative Filtering via Item-Variance Weighting"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2024-01-22T01:24:17.276266+00:00"}