博碩士論文 103423001 詳細資訊




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姓名 施多加(Duo-Jia Shih)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 基於草稿論文上下文及結構關係的論文引文推薦
檔案 [Endnote RIS 格式]    [Bibtex 格式]    至系統瀏覽論文 (2021-8-1以後開放)
摘要(中) 大量的研究結果造成研究者在撰寫論文時的困難,搜尋適當的引用文獻成為極耗費人力的工作。但目前的研究大多是從關鍵字、文章的角度進行推薦,無法針對文章中的某個段落文字推薦。就算有以段落文字為基礎的方法,也沒有考慮到文字可能有不存在,或者部分殘缺的問題

我們的研究,希望能幫助作者在撰寫論文時,得到合適的引用資料,除了考慮本文之外,還加入標題、摘要、關鍵字等論文結構資訊;並利用Wordnet改良傳統TF-IDF遇到文字量不足時資料疏散的問題;最後加入完整度門檻來調整不同權重對推薦結果的影響,至終從作者的角度給予合適的推薦文章。
摘要(英) 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
關鍵字(中) ★ 論文引文
★ 文字探勘
★ 推薦
★ 草稿
關鍵字(英) ★ Draft paper citation
★ Text mining
★ Citation recommendation
論文目次 一、 緒論 1
1-1 研究背景 1
1-2 動機-推薦系統的重要 2
1-3 推薦系統 2
1-4 本文考慮的推薦情境 7
二、 相關研究 8
2-1 推薦系統 8
2-2 論文推薦研究之比較 11
2-3 字詞網 Wordnet 12
2-4 向量相似度運算方法 13
三、 論文推薦系統架構 14
3-1 問題定義 14
3-2 變數定義 17
3-3 資料前處理 19
3-4 運算過程說明 20
3-5結構因子權重 24
四、 實驗 30
4-1 實驗設計 30
4-2 資料蒐集 36
4-3 實驗參數前測 37
4-4 實驗結果 53
五、 結論與未來研究 56
5-1 結論與研究貢獻 56
5-2 研究限制 56
5-3 未來研究 57
參考文獻 58
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[2] Strohman, T., Croft, W.B., Jensen, D., “Recommending Citations for Academic Papers”, Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR′07
[3] Zarrinkalam, F., Kahani, M., 2013,“A citation recommendation system based on a novel semantic distance measure”, Program Volume 47, Issue 1, February, Pages 92-112
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[8] Lu, Y. , He, J., Shan, D., Yan, H., 2011, “Recommending Citations with Translation Model” International Conference on Information and Knowledge Management, Proceedings, Pages 2017-2020
[9] He, Q.a, Pei, J.b , Kifer, D.a, Mitra, P.a, Giles, L.a, 2010, “Context-aware Citation Recommendation”, Proceedings of the 19th International Conference on World Wide Web, WWW ′10, Pages 421-430
[10] Onur Küçüktunç, Erik Saule, Kamer Kaya, Ümit V. Çatalyürek, 2012, “Recommendation on Academic Networks using Direction Aware Citation Analysis”, arXiv:1205.1143 [cs.IR]
[11] He, J.a , Nie, J.-Y.a , Lu, Y.b , Zhao, W.X.b, 2012, “Position-Aligned Translation Model for Citation Recommendation”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 7608 LNCS, Pages 251-263
[12] Sugiyama, K.a , Kan, M.-Y.b, 2013, “Exploiting Potential Citation Papers in Scholarly Paper Recommendation”, Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, Pages 153-162
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[14] Beel, J.a , Langer, S.a , Genzmehr, M.a , Gipp, B.b , Breitinger, C.b , Nürnberger, A.c,2013 “Research Paper Recommender System Evaluation: A Quantitative Literature Survey”, ACM International Conference Proceeding Series, Pages 15-22
[15] Beel, J.a , Gipp, B.b , Langer, S.c, Breitinger, C.d, 2015, “Research-Paper Recommender Systems: A Literature Survey”, International Journal on Digital Libraries(unpublish)
[16] L. Rokach, P. Mitra, S. Kataria, W. Huang, and L. Giles, 2013, “A Supervised Learning Method for Context-Aware Citation Recommendation in a Large Corpus,” 52 Proceedings of the Large-Scale and Distributed Systems for Information Retrieval Workshop (LSDS-IR), pp. 17–22.
[17] Huang, W.a , Wu, Z.b , Liang, C.a , Mitra, P.ab , Giles, C.L.ab, 2015, “A neural probabilistic model for context based citation recommendation”, Proceedings of the National Conference on Artificial Intelligence, Volume 3, Pages 2404-2410
[18] George A. Miller Princeton Univ., Princeton, NJ, 1995, “WordNet: a lexical database for English”, Communications of the ACM, Volume 38, Pages 39-41
[19] George A. Miller, Richard Beckwith, Christiane Fellbaum, Derek Gross and Katherine J. Miller, 1990, “Introduction to WordNet: An On-line Lexical Database”, Int J Lexicography 3 (4): 235-244
[20] Mark Alan Finlayson, 2014, “Java Libraries for Accessing the Princeton Wordnet:
Comparison and Evaluation”, GWC
[21] Alexander Budanitsky and Graeme Hirst, 2001, “Distance in WordNet: An experimental, application-oriented evaluation of five measures”, . In Workshop on WordNet and Other Lexical Resources, Second Meeting of the North American Chapter of the Association for Computational Linguistics, Pittsburgh, PA, pages 29–34.
[22] Dr. Felix Naumann, Jun, 2013, “Similarity Measures”, Information Systems
[23] Thada, V. and V. Jaglan. , 2013, “Comparison of Jaccard, Dice, Cosine Similarity Coefficient To Find Best Fitness Value for Web Retrieved Documents Using Genetic Algorithm”, IJIET, 2(4): 202–205
[24] Hirst, G., St-Onge, D., 1998, “Lexical chains as representation of context for the detection and correction malapropisms” In Fellbaum, C., ed.: WordNet: An Electronic Lexical Database. MIT Press 305–332
指導教授 陳彥良(Yen-Liang Chen) 審核日期 2016-8-29
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