WEKO3
アイテム
{"_buckets": {"deposit": "7bf81186-5c33-49e6-9a33-ddc25d7295b5"}, "_deposit": {"id": "42352", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "42352"}, "status": "published"}, "_oai": {"id": "oai:repository.dl.itc.u-tokyo.ac.jp:00042352", "sets": ["7436", "7437"]}, "item_8_alternative_title_1": {"attribute_name": "その他のタイトル", "attribute_value_mlt": [{"subitem_alternative_title": "Incorporating Theory and Modeling in Data Analysis for CRM : RF Analysis based on a Consumer Behavior Model"}]}, "item_8_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2004-12", "bibliographicIssueDateType": "Issued"}, "bibliographicVolumeNumber": "2004-CJ-121", "bibliographic_titles": [{"bibliographic_title": "Discussion paper series. CIRJE-J"}]}]}, "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": "While RFM analysis is popular among practioners, ad-hoc rules are often employed to judge whether customers are alive or not. Because customers do not declare explicitly when they are dead, a company infers a customer is dead if she did not make any purchase, for example, for over three months. Even with the same period of nonpurchase, however, customers with a long interpurchase time need not be worried for death whereas those with a short interpurchase time could be dead. Hence, it is very important to account for customer heterogeneity when assessing the survival of customers. In this research, using standard RF data, I will derive the survival probability of an individual customer based on the common hypotheses on consumer behavior.", "subitem_description_type": "Abstract"}]}, "item_8_description_6": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "本文フィルはリンク先を参照のこと", "subitem_description_type": "Other"}]}, "item_8_full_name_3": {"attribute_name": "著者別名", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "97509", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "Abe, Makoto"}]}]}, "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/2004/2004cj121ab.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": "AA11451834", "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": "東京大学大学院経済学研究科"}]}, "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": "阿部, 誠"}], "nameIdentifiers": [{"nameIdentifier": "97508", "nameIdentifierScheme": "WEKO"}]}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "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": "CRMのデータ分析に理論とモデルを組み込む消費者行動理論にもとづいたRF分析", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "CRMのデータ分析に理論とモデルを組み込む消費者行動理論にもとづいたRF分析"}]}, "item_type_id": "8", "owner": "1", "path": ["7436", "7437"], "permalink_uri": "http://hdl.handle.net/2261/2801", "pubdate": {"attribute_name": "公開日", "attribute_value": "2013-06-03"}, "publish_date": "2013-06-03", "publish_status": "0", "recid": "42352", "relation": {}, "relation_version_is_last": true, "title": ["CRMのデータ分析に理論とモデルを組み込む消費者行動理論にもとづいたRF分析"], "weko_shared_id": null}
CRMのデータ分析に理論とモデルを組み込む消費者行動理論にもとづいたRF分析
http://hdl.handle.net/2261/2801
http://hdl.handle.net/2261/280164146018-b633-444e-b89e-dcbd9178d88a
Item type | テクニカルレポート / Technical Report(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2013-06-03 | |||||
タイトル | ||||||
タイトル | CRMのデータ分析に理論とモデルを組み込む消費者行動理論にもとづいたRF分析 | |||||
言語 | ||||||
言語 | jpn | |||||
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 | |||||
その他のタイトル | ||||||
その他のタイトル | Incorporating Theory and Modeling in Data Analysis for CRM : RF Analysis based on a Consumer Behavior Model | |||||
著者 |
阿部, 誠
× 阿部, 誠 |
|||||
著者別名 | ||||||
識別子 | 97509 | |||||
識別子Scheme | WEKO | |||||
姓名 | Abe, Makoto | |||||
著者所属 | ||||||
著者所属 | 東京大学大学院経済学研究科 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | While RFM analysis is popular among practioners, ad-hoc rules are often employed to judge whether customers are alive or not. Because customers do not declare explicitly when they are dead, a company infers a customer is dead if she did not make any purchase, for example, for over three months. Even with the same period of nonpurchase, however, customers with a long interpurchase time need not be worried for death whereas those with a short interpurchase time could be dead. Hence, it is very important to account for customer heterogeneity when assessing the survival of customers. In this research, using standard RF data, I will derive the survival probability of an individual customer based on the common hypotheses on consumer behavior. | |||||
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-J 巻 2004-CJ-121, 発行日 2004-12 |
|||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11451834 | |||||
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/2004/2004cj121ab.html |