{"created":"2025-01-18T22:50:32.525732+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00017578","sets":["934:1022:1049:1050"]},"path":["1050"],"owner":"1","recid":"17578","title":["ウェブコミュニティを用いた大域ウェブアクセスログ解析法の一提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2003-12-15"},"_buckets":{"deposit":"39793fcc-38d6-45df-9519-f750c6268673"},"_deposit":{"id":"17578","pid":{"type":"depid","value":"17578","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"ウェブコミュニティを用いた大域ウェブアクセスログ解析法の一提案","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ウェブコミュニティを用いた大域ウェブアクセスログ解析法の一提案"},{"subitem_title":"A Study for Analysis of Web Access Logs with Web Communities","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"研究論文","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2003-12-15","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学生産技術研究所"},{"subitem_text_value":"東京大学生産技術研究所"},{"subitem_text_value":"東京大学生産技術研究所"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Institute of Industrial Science, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Institute of Industrial Science, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Institute of Industrial Science, The University of Tokyo","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/17578/files/IPSJ-TOD4418005.pdf"},"date":[{"dateType":"Available","dateValue":"2005-12-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TOD4418005.pdf","filesize":[{"value":"999.0 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"13"},{"tax":["include_tax"],"price":"0","billingrole":"39"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"0f26a576-ca97-4813-af38-eab8efe8651c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2003 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大塚真吾"},{"creatorName":"豊田, 正史"},{"creatorName":"喜連川, 優"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shingo, Otsuka","creatorNameLang":"en"},{"creatorName":"Masashi, Toyoda","creatorNameLang":"en"},{"creatorName":"Masaru, Kitsuregawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11464847","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7799","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ウェブページを閲覧する人々の行動モデルの抽出は重要であり多くの研究が行われている．既存の研究のほとんどはウェブサーバのログを用いたものであり，当該サイト上での挙動は把握できるものの，サイト外を含めたユーザの行動を解析することは容易でない．最近，テレビ視聴率調査と同様，統計的に偏りなく抽出された人（パネル）を対象にURL 履歴の収集を行う事業が登場している．パネルから集められたログ（パネルログ）の解析により，パネルが訪れたすべてのウェブページ（URL）を収集できる．ウェブサーバに対する従来のログ解析では解析対象となるページ空間が狭いのに対し，パネルログではきわめて広大なページ空間を対象とするため，個々のページの参照履歴から大域的な行動の把握は容易でない．本論文では類似したウェブページを抽出するウェブコミュニティ手法を用いたパネルログ解析システムを提案し，URL を基にした解析ではとらえ難い大域的なユーザの行動パターン抽出例を紹介する．","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"To extract model of Web users’ behavior is of decisive importance and there are a lot of work has been done in this area. As far as we know, most of the work utilize logs on serverside, even it can gain an understanding of behavior inside the server, but it is hard to analyze complete users’ behavior (inside and outside the server). Recently, similar to survey on TV audience rating, a new kind of business appeared, which collects URL histories of users (called panel) who are selected without statistic deviation. By analyzing panel logs which are merged from panels, it becomes possible to collect all the web pages (URLs) accessed by the users. In contrast to Web server logs which have a limited page-space, panel logs have an extremely broad page-space. For this reason, it’s difficult to get hold of behavior on global page-space by just checking reference histories. In this papaer, we propose a prototype system to extract user access patterns from panel logs and show users’ global behavior patterns which are hard to be grasped for URL-based analysis using our proposed system.","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"44","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌データベース（TOD）"}],"bibliographicPageStart":"32","bibliographicIssueDates":{"bibliographicIssueDate":"2003-12-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"SIG18(TOD20)","bibliographicVolumeNumber":"44"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"links":{},"id":17578,"updated":"2025-01-22T23:15:07.618048+00:00"}