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      소셜 네트워크 분석을 이용한 중복회원 관리

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      https://www.riss.kr/link?id=A82624394

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Using Internet environment is considered absolutely essential for more efficient marketing strategies, so many companies are attempting to efficiently use these Internetbased marketing strategies to increase their profits. Although website members and marketing costs are significantly increasing, many companies could not find efficient ways to screen and exclude unfavorable troublemakers who are duplicate members. The duplicate members tend to snap away a premium for sincere customers and drop down marketing cost effects. Therefore, effective membership management system is required for improving Internet-based marketing performance. The purpose of this study is to suggest efficient ways to screen duplicate members by using social network analysis and verify the effectiveness by using real on-line customer data.
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      Using Internet environment is considered absolutely essential for more efficient marketing strategies, so many companies are attempting to efficiently use these Internetbased marketing strategies to increase their profits. Although website members and...

      Using Internet environment is considered absolutely essential for more efficient marketing strategies, so many companies are attempting to efficiently use these Internetbased marketing strategies to increase their profits. Although website members and marketing costs are significantly increasing, many companies could not find efficient ways to screen and exclude unfavorable troublemakers who are duplicate members. The duplicate members tend to snap away a premium for sincere customers and drop down marketing cost effects. Therefore, effective membership management system is required for improving Internet-based marketing performance. The purpose of this study is to suggest efficient ways to screen duplicate members by using social network analysis and verify the effectiveness by using real on-line customer data.

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      목차 (Table of Contents)

      • Abstract
      • 1. 서론
      • 2. 이론적 배경
      • 3. 소셜네트워크분석 기반 중복고객 식별 방법
      • 4. 중복회원식별 파일롯 연구
      • Abstract
      • 1. 서론
      • 2. 이론적 배경
      • 3. 소셜네트워크분석 기반 중복고객 식별 방법
      • 4. 중복회원식별 파일롯 연구
      • 5. 실증분석
      • 6. 결론
      • 참고문헌
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