Member value quantitative evaluation method based on logistic regression
The invention relates to a logistic regression-based member value quantitative evaluation method. The method comprises the steps of 1) obtaining member original data; 2) preprocessing the obtained member original data to obtain preprocessed formatted data; 3) performing data annotation on the prepro...
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creator | CHENG XIAYING SHENG YINGHAN WEN YANG LI YONGLIN SONG XI YAO YIWEN YI LI WANG LAI |
description | The invention relates to a logistic regression-based member value quantitative evaluation method. The method comprises the steps of 1) obtaining member original data; 2) preprocessing the obtained member original data to obtain preprocessed formatted data; 3) performing data annotation on the preprocessed formatted data; 4) screening effective features used for inputting a model from the original features of the formatted data; 5) constructing a member value evaluation model including variable segmentation, WOE transformation of variables and logistic regression estimation; and 6) inputting the effective features screened in the step 4) into the constructed member value evaluation model to obtain a member value quantitative evaluation result. Compared with the prior art, the method has the advantages of being objective in evaluation, more suitable for e-commerce platforms such as the B2B iron and steel industry and the like, and the like.
本发明涉及一种基于逻辑回归的会员价值量化评估方法,包括:1)获取会员原始数据;2)对获取的会员原始数据进行预处理,获取预处理后的格式化数据;3 |
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本发明涉及一种基于逻辑回归的会员价值量化评估方法,包括:1)获取会员原始数据;2)对获取的会员原始数据进行预处理,获取预处理后的格式化数据;3</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220715&DB=EPODOC&CC=CN&NR=114757495A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220715&DB=EPODOC&CC=CN&NR=114757495A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHENG XIAYING</creatorcontrib><creatorcontrib>SHENG YINGHAN</creatorcontrib><creatorcontrib>WEN YANG</creatorcontrib><creatorcontrib>LI YONGLIN</creatorcontrib><creatorcontrib>SONG XI</creatorcontrib><creatorcontrib>YAO YIWEN</creatorcontrib><creatorcontrib>YI LI</creatorcontrib><creatorcontrib>WANG LAI</creatorcontrib><title>Member value quantitative evaluation method based on logistic regression</title><description>The invention relates to a logistic regression-based member value quantitative evaluation method. The method comprises the steps of 1) obtaining member original data; 2) preprocessing the obtained member original data to obtain preprocessed formatted data; 3) performing data annotation on the preprocessed formatted data; 4) screening effective features used for inputting a model from the original features of the formatted data; 5) constructing a member value evaluation model including variable segmentation, WOE transformation of variables and logistic regression estimation; and 6) inputting the effective features screened in the step 4) into the constructed member value evaluation model to obtain a member value quantitative evaluation result. Compared with the prior art, the method has the advantages of being objective in evaluation, more suitable for e-commerce platforms such as the B2B iron and steel industry and the like, and the like.
本发明涉及一种基于逻辑回归的会员价值量化评估方法,包括:1)获取会员原始数据;2)对获取的会员原始数据进行预处理,获取预处理后的格式化数据;3</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPDwTc1NSi1SKEvMKU1VKCxNzCvJLEksySxLVUgFiQGZ-XkKuaklGfkpCkmJxakpCkB-Tn56ZnFJZrJCUWp6UWpxMVANDwNrWmJOcSovlOZmUHRzDXH20E0tyI9PLS5ITE7NSy2Jd_YzNDQxNzU3sTR1NCZGDQD26zUN</recordid><startdate>20220715</startdate><enddate>20220715</enddate><creator>CHENG XIAYING</creator><creator>SHENG YINGHAN</creator><creator>WEN YANG</creator><creator>LI YONGLIN</creator><creator>SONG XI</creator><creator>YAO YIWEN</creator><creator>YI LI</creator><creator>WANG LAI</creator><scope>EVB</scope></search><sort><creationdate>20220715</creationdate><title>Member value quantitative evaluation method based on logistic regression</title><author>CHENG XIAYING ; SHENG YINGHAN ; WEN YANG ; LI YONGLIN ; SONG XI ; YAO YIWEN ; YI LI ; WANG LAI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114757495A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>CHENG XIAYING</creatorcontrib><creatorcontrib>SHENG YINGHAN</creatorcontrib><creatorcontrib>WEN YANG</creatorcontrib><creatorcontrib>LI YONGLIN</creatorcontrib><creatorcontrib>SONG XI</creatorcontrib><creatorcontrib>YAO YIWEN</creatorcontrib><creatorcontrib>YI LI</creatorcontrib><creatorcontrib>WANG LAI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHENG XIAYING</au><au>SHENG YINGHAN</au><au>WEN YANG</au><au>LI YONGLIN</au><au>SONG XI</au><au>YAO YIWEN</au><au>YI LI</au><au>WANG LAI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Member value quantitative evaluation method based on logistic regression</title><date>2022-07-15</date><risdate>2022</risdate><abstract>The invention relates to a logistic regression-based member value quantitative evaluation method. The method comprises the steps of 1) obtaining member original data; 2) preprocessing the obtained member original data to obtain preprocessed formatted data; 3) performing data annotation on the preprocessed formatted data; 4) screening effective features used for inputting a model from the original features of the formatted data; 5) constructing a member value evaluation model including variable segmentation, WOE transformation of variables and logistic regression estimation; and 6) inputting the effective features screened in the step 4) into the constructed member value evaluation model to obtain a member value quantitative evaluation result. Compared with the prior art, the method has the advantages of being objective in evaluation, more suitable for e-commerce platforms such as the B2B iron and steel industry and the like, and the like.
本发明涉及一种基于逻辑回归的会员价值量化评估方法,包括:1)获取会员原始数据;2)对获取的会员原始数据进行预处理,获取预处理后的格式化数据;3</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Member value quantitative evaluation method based on logistic regression |
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