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• Main Authors: Duo-Jia Shih, 施多加
• Other Authors: Yen-Liang Chen
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/g654w4

碩士 === 國立中央大學 === 資訊管理學系 === 104 === The great amount of research results brings researchers recurrent difficulties. Searching for the appropriate citations become an extremely labor-intensive work. However the current study about paper citation recommendation almost recommend from the perspective of keywords or the articles. These methods can not recommend from the perspective of contexts. Even if there are some context-based methods, they didn’t take into account the information completeness of these contexts. In this paper, we hope to help the authors who is writing papers during their research, getting the appropriate citation. In addition to considering the context of articles, but also the structure information of research papers like title, abstract, keywords and so on. We use Wordnet to improve the text information inadequate problem of traditional TF-IDF method. Finally, we take completeness threshold into consideration to adjust the problems of information incompleteness. Using this algorithm, we can recommend the appropriate citation in terms of authors eventually