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hy-research's Introduction

Research AI abnormal detecting

Abstract

인공지능으로 전자상거래 이상데이터 탐지 연구

  • 휴먼 프로세스 대비 Accurecy
    • un-supervised learning을 이용하 접근 방법 고려
    • Labeling cost reduce..

Feature

대분류 중분류 소분류 상품명 제품코드 가격 배송비 판매자 플랫폼 등록일 수집일
  • 대분류 → 가전, 의류, 식품 ...
  • 중분류 → 상의, 하의, PC 부품, NaN 해당 값이 없을 수도 있다.
  • 소분류 → 셔츠, TV, PC, VGA ...
  • 상품 명
  • (Delete) 상세 제품 명 → e.g 제품 코드
  • 배송비를 제외한 가격
  • 배송비
  • (Delete) 판매처, 판매자
  • 판매 플랫폼 → Coupang, Naver, SSG...
  • (Delete) 상품 등록일
  • 데이터 수집일

Environment

  1. 'requirments.txt'에 버전 명시
  2. safaridriver 사용 safaridriver --enable

hy-research's People

Contributors

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Watchers

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hy-research's Issues

크롤링 타겟 Rev2

데이터 수집 대상이 Front-site가 Revision되어 크롤러 개편이 필요

Modeling

논문 연구를 위한 모델링

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