{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00203751","sets":["6201:6202:9109:9110:10174"]},"path":["10174"],"owner":"44499","recid":"203751","title":["確率モデルを用いた大規模イベントの来場者回遊行動分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-03-07"},"_buckets":{"deposit":"557b5c8a-7755-47f3-bd2c-5c138d61bbaf"},"_deposit":{"id":"203751","pid":{"type":"depid","value":"203751","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"確率モデルを用いた大規模イベントの来場者回遊行動分析","author_link":["503174","503173","503178","503176","503175","503177"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"確率モデルを用いた大規模イベントの来場者回遊行動分析"},{"subitem_title":"Analysis of Visitors' Migration Behavior of Large-scale Event Using Probabilistic Model","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"PLSA","subitem_subject_scheme":"Other"},{"subitem_subject":"ベイジアンネットワーク","subitem_subject_scheme":"Other"},{"subitem_subject":"実社会ビックデータ","subitem_subject_scheme":"Other"}]},"item_type_id":"19","publish_date":"2020-03-07","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_19_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"産業技術総合研究所 人工知能研究センター"}]},"item_19_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"AIST Artificial Intelligence Research Center","subitem_text_language":"en"}]},"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/203751/files/IPSJ-KansaiBCSS06_202005.pdf","label":"IPSJ-KansaiBCSS06_202005.pdf"},"date":[{"dateType":"Available","dateValue":"2022-03-07"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-KansaiBCSS06_202005.pdf","filesize":[{"value":"876.7 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"4ddbd8ea-2256-4e52-a68a-d5fb83ec5964","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_19_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"古田, 真理"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山下, 和也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"本村, 陽一"}],"nameIdentifiers":[{}]}]},"item_19_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Mari, Furuta","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kazuya, Yamashita","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoichi, Motomura","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_19_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年実社会ビッグデータ収集やそのデータ分析の重要性が高まっている. 本研究では実社会ビッグデータの例として, サイエンスアゴラとして開催されている大規模科学イベントでの心理・行動データに焦点を当て, 実際に数千人規模のデータを収集する実験を行った. また, 収集したデータからPLSAやベイジアンネットワークを使用して確率モデルを構築した結果の分析を行い, そこからイベント来場者・出展者の心理的価値を高めるイベントのサービス改善に応用する方法を考える.","subitem_description_type":"Other"}]},"item_19_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In recent years, the importance of real-world big data collection and its data analysis has been increasing. In this research, as an example of real-world big data, we focused on psychological and behavioral data at a large-scale scientific event held as Science Agora. An experiment was conducted to collect data for thousands of people. In addition, we analyzed the results of constructing a probabilistic model from the collected data using PLSA and Bayesian networks, and from that, we analyzed the psychology of event visitors and exhibitors. We thought about how to apply it to improving the service of events that increase the value.","subitem_description_type":"Other"}]},"item_19_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"行動変容と社会システム vol.06"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2020-03-07","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2020"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":203751,"updated":"2025-01-19T20:27:21.567870+00:00","links":{},"created":"2025-01-19T01:06:05.391027+00:00"}