Jun-soo Yun, Jin-tae Park, Hyun-seo Hwang, Il-young Moon
언어
한국어(KOR)
URL
https://www.earticle.net/Article/A268830
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
Many data on smartphones and Internet development is communicated indiscriminately, thereby undergoing a rapid increase in data traffic. Especially in social commerce, the enormous information, the user becomes difficult yourself to find the necessary information. Even a company that provides the service, became difficult to be provided to understand the user needs information. Data that is not classified as an increase in senseless amount of data has become a new problem of this age. And is only collect the required data through the analysis, if the exact customized service is provided, it will be able to resolve the data traffic problems. Therefore, in this paper, we describe an efficient method of collecting big data to you customized advertising service users.
목차
Abstract 1. Introduction 2. Related Research 2.1. Amazon 2.2. Google 2.3. eBay 2.4. Kakao 3. Main Discourse 3.1. Big Data Collection Techniques 3.2. User’s Query Collection 3.3. Collection of User Connection Time 3.4. Collection of the Number of Accesses User 3.5. Usability Analysis 4. Conclusion References
키워드
Big DataSocial CommerceData TrafficSmartphone
저자
Jun-soo Yun [ Computer Science and Engineering, Korea University of Technology and Education, 1600, Chungjeol-ro, Byongcehon-myen, Dongnam-gu, Cheonan-si, Chungcheongnam-do, Korea ]
Jin-tae Park [ Computer Science and Engineering, Korea University of Technology and Education, 1600, Chungjeol-ro, Byongcehon-myen, Dongnam-gu, Cheonan-si, Chungcheongnam-do, Korea ]
Hyun-seo Hwang [ Computer Science and Engineering, Korea University of Technology and Education, 1600, Chungjeol-ro, Byongcehon-myen, Dongnam-gu, Cheonan-si, Chungcheongnam-do, Korea ]
Il-young Moon [ Computer Science and Engineering, Korea University of Technology and Education, 1600, Chungjeol-ro, Byongcehon-myen, Dongnam-gu, Cheonan-si, Chungcheongnam-do, Korea ]
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.9 No.12