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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 o...
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ndltd-TW-104NCU053960822019-05-15T23:01:21Z http://ndltd.ncl.edu.tw/handle/g654w4 none 基於草稿論文上下文及結構關係的論文引文推薦 Duo-Jia Shih 施多加 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 Yen-Liang Chen 陳彥良 2016 學位論文 ; thesis 72 zh-TW |
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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
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Yen-Liang Chen |
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Yen-Liang Chen Duo-Jia Shih 施多加 |
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Duo-Jia Shih 施多加 |
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Duo-Jia Shih 施多加 none |
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Duo-Jia Shih |
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2016 |
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http://ndltd.ncl.edu.tw/handle/g654w4 |
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