초록

용어보기논문에서 용어와 풀이말을 자동 추출한 결과로, 시범 서비스 중입니다. AI-Helper

Abstract ▼ AI-Helper

Recently, Social Network Services(SNS) that is represented by Twitter and Facebook have exploded in popularity. Popularity of SNS leads popularity of social search that is using materials of social network for searching. However, the social search algorithms so far is insensitive to change of user"s...

Recently, Social Network Services(SNS) that is represented by Twitter and Facebook have exploded in popularity. Popularity of SNS leads popularity of social search that is using materials of social network for searching. However, the social search algorithms so far is insensitive to change of user"s recent interests. In this paper, we propose a rank algorithm that overcomes the weak point. The proposed rank algorithm searches the users who can be most likely to answer the question. It extracts user"s recent interests from social bookmarking service. And we had a experiment with Twitter users to assess effectiveness of the proposed algorithm. By the experiment, we show the proposed algorithm is more effective than existing one.

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