{"created":"2025-01-19T00:50:05.919479+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00182486","sets":["1164:3782:9095:9204"]},"path":["9204"],"owner":"11","recid":"182486","title":["A Human Mobility Prediction Scheme By Using A Hierarchical Interest Model"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-06-29"},"_buckets":{"deposit":"bda21b54-3155-4295-9a75-5446a0eb2a84"},"_deposit":{"id":"182486","pid":{"type":"depid","value":"182486","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"A Human Mobility Prediction Scheme By Using A Hierarchical Interest Model","author_link":["397659","397661","397663","397658","397662","397660"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Human Mobility Prediction Scheme By Using A Hierarchical Interest Model"},{"subitem_title":"A Human Mobility Prediction Scheme By Using A Hierarchical Interest Model","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データ分析","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2017-06-29","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"ソーシャルイノベーション推進研究室"},{"subitem_text_value":"ソーシャルイノベーション推進研究室"},{"subitem_text_value":"京都大学大学院情報学研究科通信情報システム専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Social Innovation Promotion Lab., National Institute of Information and Communications Technology,","subitem_text_language":"en"},{"subitem_text_value":"Social Innovation Promotion Lab., National Institute of Information and Communications Technology,","subitem_text_language":"en"},{"subitem_text_value":"Communications and Computer Engineering, Graduate School of Informatics, Kyoto University,","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/182486/files/IPSJ-DC17105002.pdf","label":"IPSJ-DC17105002.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DC17105002.pdf","filesize":[{"value":"530.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"32"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"66b31a6a-4ece-4534-9905-a6fde551fe9b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 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":"劉, 巍"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"荘司, 洋三"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"新熊, 亮一"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Wei, Liu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yozo, Shoji","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryoichi, Shinkuma","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10539261","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":"2188-8892","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"We propose a scheme to predict human mobility in this technical report. First, a hierarchical interest model is introduced to organize the semantic category of location in the human mobility logs and to represent the personalized mobility pattems of a single person. Then, by combining the interest models of many different people, a 3-dimensional tensor with the features of person, time, and the semantic category of location is constructed. Tensor factorization is utilized to reveal people's mobility interest on different kinds of locations. Finally, personalized interest models are recovered from the cumulative tensor and are used to predict human mobility in a person - by - person way. Extensive evaluation results based on a large scale dataset of real check-in records have validated that our proposal achieves better recall, precision, and F - Score in human mobility prediction as compared to the state-of-art approach.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose a scheme to predict human mobility in this technical report. First, a hierarchical interest model is introduced to organize the semantic category of location in the human mobility logs and to represent the personalized mobility pattems of a single person. Then, by combining the interest models of many different people, a 3-dimensional tensor with the features of person, time, and the semantic category of location is constructed. Tensor factorization is utilized to reveal people's mobility interest on different kinds of locations. Finally, personalized interest models are recovered from the cumulative tensor and are used to predict human mobility in a person - by - person way. Extensive evaluation results based on a large scale dataset of real check-in records have validated that our proposal achieves better recall, precision, and F - Score in human mobility prediction as compared to the state-of-art approach.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告ドキュメントコミュニケーション（DC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2017-06-29","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2017-DC-105"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"links":{},"id":182486,"updated":"2025-01-20T04:03:47.259094+00:00"}