공통 팔로워 중복 집단에 기반한 인플루엔셜 랭킹 알고리즘을 이용한 마이크로블로그의 팔로위 추천 = The Recommendation of the Followees in Microblog Using Influential Ranking Algorithm Based Common Follower Duplicate Group

다국어 초록 (Multilingual Abstract)

The objective of this paper is to provide recommender model to recommend the followees in microblog using influential ranking algorithm based common follower duplicate group. The proposed algorithm was able to recommend microblog’s fol-lowees with shorter processing time than the previous influential ranking algorithm. In addition, the hit ratio of the recom-mended followees gained from the proposed algorithm showed more improved performance when it was applied to Tencent Weibo, which is the most popular microblog in China.

국문 초록 (Abstract)

본 연구에서는 마이크로블로그의 팔로위 추천을 위해 공통 팔로워 중복 집단에 기반한 인플루엔셜 랭킹알고리즘을 이용한 추천모형을 개발하였다. 제안 알고리즘은 마이크로블로그의 팔로위를 추천할 때, 공통 팔로워의 중복 집단을 이용함으로써 계산시간을 대폭 줄이고 적중률 또한 기존의 방법론보다 높일 수 있었다. 제안 알고리즘을 이용하여 중국의 마이크로블로그인 텐센트 웨이보(Tencent Weibo)에 적용한 결과 팔로위 추천 정확도가 증가하였다.

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