빅 데이터를 활용한 SNS 인맥 추천 시스템에 관한 연구

• 영문명: A Study on the System for Recommending the SNS Personal Connections Utilizing the Big Data
• 발행기관: 한국IT마케팅학회
• 저자명: 안혜경(Hye Kyoung Ahn) 김규호(Kyu Ho Kim)
• 간행물 정보: 『The Journal of Information Technology and Management』Vol.1 No.1, 27~30쪽, 전체 3쪽
• 주제분류: 사회과학 > 무역학
• 파일형태: PDF
• 발행일자: 2013.12.31

영문 초록

Nowadays, the number of people who are using the Social Networking Service (SNS) is well over 1.5 billion around the globe, and people are managing their personal relationships on the SNS. As such, the SNS has become an indispensable thing for general people in many ways. In this paper, a personal connections package suitable for a person's needs is recommended as prepared by extracting information from both the structured data and unstructured data available from the SNS through utilizing the Big Data technologies that are emerging as the most significant ones these days. This system is helpful in recommending a personal connections package conveniently with the information that is extracted not only from the data provided by the existing structured data but also from those provided by the unstructured data.

목차

Abstract

1. 서론

2. 관련연구

3. 시스템 설계 및 구현

4. 결론

5. 참고문헌

키워드

networking SNS big data recommendation