Learning to rank domain experts in microblogging by combining text and non-text features

Abstract

Currently microblog search engines have the function to find related users according to input topic keywords. Traditional approaches rank users by their authentication information or their self descriptions (introductions or labels).However, many users may not publish the posts closely related to their certification profile. In this paper, we study the… (More)
DOI: 10.1109/BESC.2015.7365953

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