DOI: 10.24251/hicss.2018.124
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Abstract: Information overload is a major problem for both readers and authors due to the rapid increase in scientific papers in recent years. Methods are proposed to help readers find right papers, but few research focuses on knowledge sharing and dissemination from authors' perspectives. This paper proposes a personalized academic knowledge sharing system that takes advantages of author's initiatives. In our method, we combine the user-level and documentlevel analysis in the same model, it works in two stages: 1) user…

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