WEKO3
アイテム
{"_buckets": {"deposit": "564c1e8f-3065-400e-8cdd-fc17ea007510"}, "_deposit": {"id": "42731", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "42731"}, "status": "published"}, "_oai": {"id": "oai:repository.dl.itc.u-tokyo.ac.jp:00042731", "sets": ["7436", "7434"]}, "item_8_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2003-02", "bibliographicIssueDateType": "Issued"}, "bibliographicVolumeNumber": "2003-CF-194", "bibliographic_titles": [{"bibliographic_title": "Discussion paper series. CIRJE-F"}]}]}, "item_8_description_13": {"attribute_name": "フォーマット", "attribute_value_mlt": [{"subitem_description": "application/pdf", "subitem_description_type": "Other"}]}, "item_8_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Utilizing data from a log file, a two-stage model for step-ahead web page prediction that permits adaptive page customization in real-time is proposed. The first stage predicts the next page of a viewer based on a variant of a Markov transition matrix computed from page sequences of other visitors who read the same pages as that viewer did thus far. The second stage re-analyzes the incorrect exit/continuation predictions of the first stage through data mining, incorporating the visitor\u0027s viewing behavior observed from the log file. The two-stage process takes advantage of a robust, theory-driven nature of statistical modeling for extracting the overall feature of the data, and a flexible, data-driven nature of data mining to capture any idiosyncrasies and complications unresolved in the first stage. The empirical result with a test site implies that the first stage alone is sufficiently accurate (50.3%) in predicting page transitions. Prediction of site exit was even better with 100% of the exit and 90.8% of the continuation predictions being correct. The result was compared against other models for predictive accuracy.", "subitem_description_type": "Abstract"}]}, "item_8_description_6": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "International Journal of Electronic Business. 掲載予定.", "subitem_description_type": "Other"}, {"subitem_description": "本文フィルはリンク先を参照のこと", "subitem_description_type": "Other"}]}, "item_8_publisher_20": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "日本経済国際共同センター"}]}, "item_8_relation_25": {"attribute_name": "関係URI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "http://www.cirje.e.u-tokyo.ac.jp/research/dp/2003/2003cf194ab.html", "subitem_relation_type_select": "URI"}}]}, "item_8_source_id_10": {"attribute_name": "書誌レコードID", "attribute_value_mlt": [{"subitem_source_identifier": "AA11450569", "subitem_source_identifier_type": "NCID"}]}, "item_8_subject_15": {"attribute_name": "日本十進分類法", "attribute_value_mlt": [{"subitem_subject": "330", "subitem_subject_scheme": "NDC"}]}, "item_8_text_21": {"attribute_name": "出版者別名", "attribute_value_mlt": [{"subitem_text_value": "Center for International Research on the Japanese Economy"}]}, "item_8_text_34": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"subitem_text_value": "Discussion Paper"}]}, "item_8_text_4": {"attribute_name": "著者所属", "attribute_value_mlt": [{"subitem_text_value": "University of Tokyo"}]}, "item_access_right": {"attribute_name": "アクセス権", "attribute_value_mlt": [{"subitem_access_right": "metadata only access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_14cb"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Abe, Makoto"}], "nameIdentifiers": [{"nameIdentifier": "98280", "nameIdentifierScheme": "WEKO"}]}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "pate transition", "subitem_subject_scheme": "Other"}, {"subitem_subject": "prediction model", "subitem_subject_scheme": "Other"}, {"subitem_subject": "log file", "subitem_subject_scheme": "Other"}, {"subitem_subject": "statistical modeling", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Markov transition matrix", "subitem_subject_scheme": "Other"}, {"subitem_subject": "data mining", "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": "technical report", "resourceuri": "http://purl.org/coar/resource_type/c_18gh"}]}, "item_title": "A Two-Stage Prediction Model for Web Page Transition", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "A Two-Stage Prediction Model for Web Page Transition"}]}, "item_type_id": "8", "owner": "1", "path": ["7436", "7434"], "permalink_uri": "http://hdl.handle.net/2261/2470", "pubdate": {"attribute_name": "公開日", "attribute_value": "2017-01-17"}, "publish_date": "2017-01-17", "publish_status": "0", "recid": "42731", "relation": {}, "relation_version_is_last": true, "title": ["A Two-Stage Prediction Model for Web Page Transition"], "weko_shared_id": null}
A Two-Stage Prediction Model for Web Page Transition
http://hdl.handle.net/2261/2470
http://hdl.handle.net/2261/2470f9b1b2f1-df39-41a3-8d6e-7c31fd3999e8
Item type | テクニカルレポート / Technical Report(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2017-01-17 | |||||
タイトル | ||||||
タイトル | A Two-Stage Prediction Model for Web Page Transition | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題 | pate transition | |||||
主題Scheme | Other | |||||
キーワード | ||||||
主題 | prediction model | |||||
主題Scheme | Other | |||||
キーワード | ||||||
主題 | log file | |||||
主題Scheme | Other | |||||
キーワード | ||||||
主題 | statistical modeling | |||||
主題Scheme | Other | |||||
キーワード | ||||||
主題 | Markov transition matrix | |||||
主題Scheme | Other | |||||
キーワード | ||||||
主題 | data mining | |||||
主題Scheme | Other | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_18gh | |||||
タイプ | technical report | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Abe, Makoto
× Abe, Makoto |
|||||
著者所属 | ||||||
著者所属 | University of Tokyo | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Utilizing data from a log file, a two-stage model for step-ahead web page prediction that permits adaptive page customization in real-time is proposed. The first stage predicts the next page of a viewer based on a variant of a Markov transition matrix computed from page sequences of other visitors who read the same pages as that viewer did thus far. The second stage re-analyzes the incorrect exit/continuation predictions of the first stage through data mining, incorporating the visitor's viewing behavior observed from the log file. The two-stage process takes advantage of a robust, theory-driven nature of statistical modeling for extracting the overall feature of the data, and a flexible, data-driven nature of data mining to capture any idiosyncrasies and complications unresolved in the first stage. The empirical result with a test site implies that the first stage alone is sufficiently accurate (50.3%) in predicting page transitions. Prediction of site exit was even better with 100% of the exit and 90.8% of the continuation predictions being correct. The result was compared against other models for predictive accuracy. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | International Journal of Electronic Business. 掲載予定. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 本文フィルはリンク先を参照のこと | |||||
書誌情報 |
Discussion paper series. CIRJE-F 巻 2003-CF-194, 発行日 2003-02 |
|||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11450569 | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
日本十進分類法 | ||||||
主題 | 330 | |||||
主題Scheme | NDC | |||||
出版者 | ||||||
出版者 | 日本経済国際共同センター | |||||
出版者別名 | ||||||
Center for International Research on the Japanese Economy | ||||||
関係URI | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://www.cirje.e.u-tokyo.ac.jp/research/dp/2003/2003cf194ab.html |