Method and apparatus for estimating the gender of a member who purchases products from an Internet shopping mall
One aspect of the present invention discloses a method for estimating the gender of a member who has purchased a product of a shopping mall associated with e-commerce, which can accurately predict the gender of members who have not inputted gender. The method comprises: a step of acquiring product p...
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description | One aspect of the present invention discloses a method for estimating the gender of a member who has purchased a product of a shopping mall associated with e-commerce, which can accurately predict the gender of members who have not inputted gender. The method comprises: a step of acquiring product purchase history information of a plurality of shopping malls associated with e-commerce, wherein the product purchase history information includes purchase member information for a specific product and information on a product previously purchased by a purchase member; and a step of using the purchase history information to estimate the gender of a plurality of gender-not-inputted members who have not inputted gender among first glass members who have purchased at least one first class product in the plurality of shopping malls. The step of estimating the gender of the plurality of gender-not-inputted members includes a step of using the purchase history information of each of the plurality of gender-not-inputted members to estimate the gender of at least some of the plurality of gender-not-inputted members by a gender estimation algorithm based on at least one of second class products purchased by the corresponding member in the past.
본 발명의 일 양태는 전자상거래와 연관된 쇼핑몰의 상품을 구매한 회원의 성별 추정 방법을 개시하고 있다. 상기 방법은, 전자상거래와 연관된 복수 개의 쇼핑몰의 상품 구매 이력 정보를 획득하는 단계(상기 상품 구매 이력정보는 특정 상품에 대한 구매 회원 정보 및 구매 회원이 이전에 구매한 상품에 대한 정보를 포함함) 및 상기 구매 이력 정보를 이용하여, 상기 복수 개의 쇼핑몰 중 적어도 하나의 제 1 클래스 상품(a first class product)을 구매한 제 1 클래스 회원들(first class members) 중 성별을 입력하지 않은 복수의 성별 미입력 회원의 성별을 추정하는 단계를 포함하되, 상기 복수의 성별 미입력 회원의 성별을 추정하는 단계는, 상기 복수의 성별 미입력 회원 각각의 상기 구매 이력 정보를 이용하여, 해당 회원이 과거 구매한 적어도 하나의 제 2 클래스 상품들(at least one of second class products) 기반의 성별 추정 알고리즘에 의해 상기 복수의 성별 미입력 회원들 중 적어도 일부의 성별을 추정하는 단계를 포함한다. |
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fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_KR20230073724A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>KR20230073724A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_KR20230073724A3</originalsourceid><addsrcrecordid>eNqNjLEKwkAQRNNYiPoPC9ZCSITUIooiNmIf1mSTC9zdLnsb_H1P8AMshpli3lsWcidz3APGHBFUtDnBwAqUbApoUxzBHMFIsScFHgAhUHjl_XYMMmvnMFECUe7nzjKsHLIPrtFIIxkkxyJfT0Dv18ViQJ9o8-tVsT2fnsfLjoRbSoIdZaa9PaqyqsuyqZtqf6j_e30AOs5D_g</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method and apparatus for estimating the gender of a member who purchases products from an Internet shopping mall</title><source>esp@cenet</source><creator>KIM JAE JOO</creator><creatorcontrib>KIM JAE JOO</creatorcontrib><description>One aspect of the present invention discloses a method for estimating the gender of a member who has purchased a product of a shopping mall associated with e-commerce, which can accurately predict the gender of members who have not inputted gender. The method comprises: a step of acquiring product purchase history information of a plurality of shopping malls associated with e-commerce, wherein the product purchase history information includes purchase member information for a specific product and information on a product previously purchased by a purchase member; and a step of using the purchase history information to estimate the gender of a plurality of gender-not-inputted members who have not inputted gender among first glass members who have purchased at least one first class product in the plurality of shopping malls. The step of estimating the gender of the plurality of gender-not-inputted members includes a step of using the purchase history information of each of the plurality of gender-not-inputted members to estimate the gender of at least some of the plurality of gender-not-inputted members by a gender estimation algorithm based on at least one of second class products purchased by the corresponding member in the past.
본 발명의 일 양태는 전자상거래와 연관된 쇼핑몰의 상품을 구매한 회원의 성별 추정 방법을 개시하고 있다. 상기 방법은, 전자상거래와 연관된 복수 개의 쇼핑몰의 상품 구매 이력 정보를 획득하는 단계(상기 상품 구매 이력정보는 특정 상품에 대한 구매 회원 정보 및 구매 회원이 이전에 구매한 상품에 대한 정보를 포함함) 및 상기 구매 이력 정보를 이용하여, 상기 복수 개의 쇼핑몰 중 적어도 하나의 제 1 클래스 상품(a first class product)을 구매한 제 1 클래스 회원들(first class members) 중 성별을 입력하지 않은 복수의 성별 미입력 회원의 성별을 추정하는 단계를 포함하되, 상기 복수의 성별 미입력 회원의 성별을 추정하는 단계는, 상기 복수의 성별 미입력 회원 각각의 상기 구매 이력 정보를 이용하여, 해당 회원이 과거 구매한 적어도 하나의 제 2 클래스 상품들(at least one of second class products) 기반의 성별 추정 알고리즘에 의해 상기 복수의 성별 미입력 회원들 중 적어도 일부의 성별을 추정하는 단계를 포함한다.</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</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=20230526&DB=EPODOC&CC=KR&NR=20230073724A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25551,76302</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230526&DB=EPODOC&CC=KR&NR=20230073724A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>KIM JAE JOO</creatorcontrib><title>Method and apparatus for estimating the gender of a member who purchases products from an Internet shopping mall</title><description>One aspect of the present invention discloses a method for estimating the gender of a member who has purchased a product of a shopping mall associated with e-commerce, which can accurately predict the gender of members who have not inputted gender. The method comprises: a step of acquiring product purchase history information of a plurality of shopping malls associated with e-commerce, wherein the product purchase history information includes purchase member information for a specific product and information on a product previously purchased by a purchase member; and a step of using the purchase history information to estimate the gender of a plurality of gender-not-inputted members who have not inputted gender among first glass members who have purchased at least one first class product in the plurality of shopping malls. The step of estimating the gender of the plurality of gender-not-inputted members includes a step of using the purchase history information of each of the plurality of gender-not-inputted members to estimate the gender of at least some of the plurality of gender-not-inputted members by a gender estimation algorithm based on at least one of second class products purchased by the corresponding member in the past.
본 발명의 일 양태는 전자상거래와 연관된 쇼핑몰의 상품을 구매한 회원의 성별 추정 방법을 개시하고 있다. 상기 방법은, 전자상거래와 연관된 복수 개의 쇼핑몰의 상품 구매 이력 정보를 획득하는 단계(상기 상품 구매 이력정보는 특정 상품에 대한 구매 회원 정보 및 구매 회원이 이전에 구매한 상품에 대한 정보를 포함함) 및 상기 구매 이력 정보를 이용하여, 상기 복수 개의 쇼핑몰 중 적어도 하나의 제 1 클래스 상품(a first class product)을 구매한 제 1 클래스 회원들(first class members) 중 성별을 입력하지 않은 복수의 성별 미입력 회원의 성별을 추정하는 단계를 포함하되, 상기 복수의 성별 미입력 회원의 성별을 추정하는 단계는, 상기 복수의 성별 미입력 회원 각각의 상기 구매 이력 정보를 이용하여, 해당 회원이 과거 구매한 적어도 하나의 제 2 클래스 상품들(at least one of second class products) 기반의 성별 추정 알고리즘에 의해 상기 복수의 성별 미입력 회원들 중 적어도 일부의 성별을 추정하는 단계를 포함한다.</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>PHYSICS</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>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjLEKwkAQRNNYiPoPC9ZCSITUIooiNmIf1mSTC9zdLnsb_H1P8AMshpli3lsWcidz3APGHBFUtDnBwAqUbApoUxzBHMFIsScFHgAhUHjl_XYMMmvnMFECUe7nzjKsHLIPrtFIIxkkxyJfT0Dv18ViQJ9o8-tVsT2fnsfLjoRbSoIdZaa9PaqyqsuyqZtqf6j_e30AOs5D_g</recordid><startdate>20230526</startdate><enddate>20230526</enddate><creator>KIM JAE JOO</creator><scope>EVB</scope></search><sort><creationdate>20230526</creationdate><title>Method and apparatus for estimating the gender of a member who purchases products from an Internet shopping mall</title><author>KIM JAE JOO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20230073724A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2023</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>PHYSICS</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>KIM JAE JOO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KIM JAE JOO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and apparatus for estimating the gender of a member who purchases products from an Internet shopping mall</title><date>2023-05-26</date><risdate>2023</risdate><abstract>One aspect of the present invention discloses a method for estimating the gender of a member who has purchased a product of a shopping mall associated with e-commerce, which can accurately predict the gender of members who have not inputted gender. The method comprises: a step of acquiring product purchase history information of a plurality of shopping malls associated with e-commerce, wherein the product purchase history information includes purchase member information for a specific product and information on a product previously purchased by a purchase member; and a step of using the purchase history information to estimate the gender of a plurality of gender-not-inputted members who have not inputted gender among first glass members who have purchased at least one first class product in the plurality of shopping malls. The step of estimating the gender of the plurality of gender-not-inputted members includes a step of using the purchase history information of each of the plurality of gender-not-inputted members to estimate the gender of at least some of the plurality of gender-not-inputted members by a gender estimation algorithm based on at least one of second class products purchased by the corresponding member in the past.
본 발명의 일 양태는 전자상거래와 연관된 쇼핑몰의 상품을 구매한 회원의 성별 추정 방법을 개시하고 있다. 상기 방법은, 전자상거래와 연관된 복수 개의 쇼핑몰의 상품 구매 이력 정보를 획득하는 단계(상기 상품 구매 이력정보는 특정 상품에 대한 구매 회원 정보 및 구매 회원이 이전에 구매한 상품에 대한 정보를 포함함) 및 상기 구매 이력 정보를 이용하여, 상기 복수 개의 쇼핑몰 중 적어도 하나의 제 1 클래스 상품(a first class product)을 구매한 제 1 클래스 회원들(first class members) 중 성별을 입력하지 않은 복수의 성별 미입력 회원의 성별을 추정하는 단계를 포함하되, 상기 복수의 성별 미입력 회원의 성별을 추정하는 단계는, 상기 복수의 성별 미입력 회원 각각의 상기 구매 이력 정보를 이용하여, 해당 회원이 과거 구매한 적어도 하나의 제 2 클래스 상품들(at least one of second class products) 기반의 성별 추정 알고리즘에 의해 상기 복수의 성별 미입력 회원들 중 적어도 일부의 성별을 추정하는 단계를 포함한다.</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 PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Method and apparatus for estimating the gender of a member who purchases products from an Internet shopping mall |
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