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Research Review on Citation Recommendation of Academic Literatures
Received date: 2015-06-09
Revised date: 2015-07-21
Online published: 2015-08-05
[Purpose/significance] Citation Recommendation of academic literature refers to automatically recommend suitable citations and references for a given paper. With the aid of citation recommendation, authors can improve the efficiency of writing academic literatures and avoid missing important relevant literatures.[Method/process] This paper analyzesthe latest development of researches on citation recommendation at home and abroad, describes the evolution of citation recommendation, and elaborates the citation recommendationfromdifferent perspectives, such asthe local citation recommendation and global citation recommendation. Main citation recommendation techniques including text similarity, topic model, translation model, collaborative filtering and hybrid recommendation are reviewed. Also, several major data-sets and evolution methods on citation recommendation are summarized.[Result/conclusion] Previous researches didn't consider the dynamic tendency of user's preference and the comprehensiveness of research area. What's more, user studies and practical applications of citation recommendation are still lacking. To fill the gap, future works on citation recommendation may focus on semantic expression, natural language generation and cross-language citation recommendation.
Chen Haihua , Meng Rui , Lu Wei . Research Review on Citation Recommendation of Academic Literatures[J]. Library and Information Service, 2015 , 59(15) : 133 -143,147 . DOI: 10.13266/j.issn.0252-3116.2015.15.018
[1] Livne A, Gokuladas V, Teevan J, et al. CiteSight:Supporting contextual citation recommendation using differential search[EB/OL]. [2015-04-25].http://dl.acm.org/citation.cfm?id=2609585.
[2] Tang Xuewei, Wan Xiaojun, Zhang Xun. Cross-language context-aware citation recommendation in scientific articles[EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=2609564.
[3] Wouters P. The citation culture[D]. Amsterdam: University of Amsterdam, 1999.
[4] May R M. The scientific wealth of nations[J]. Science, 1997, 275(5301):793-796.
[5] Mallik A, Mandal N. Bibliometric analysis of global publication output and collaboration structure study in microRNA research [J]. Scientometrics, 2014, 98(3):2011-2037.
[6] LaTeX. A document preparation system [EB/OL]. [2015-04-25].http://www.latex-project.org/.
[7] Liu Bin, Guo S D. Attentions on Grey System Theories by China scholars——Based on literature metrology during 1982-2009[J]. Journal of Grey System, 2010, 22(2):137-146.
[8] Zhao F H, Yang B. Improving the efficiency of sci-tech novelty search based on EndNote [C]//10th International Conference on Innovation and Management.Wuhan:Wuhan University of Technology Press, 2013: 559-562.
[9] Zhou Shaoping. ActiveCite: An interactive system for automatic citation suggestion [D]. Singapore: National University of Singapore, 2010.
[10] 李琳娜, 张志平, 刘春霞. 文献推荐系统综述[J]. 数字图书馆论坛, 2012(5): 32-37.
[11] Resnick P, Iacovou N, Suchak M, et al. GroupLens: An open architecture for collaborative filtering of netnews[EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=192905.
[12] McNee S M, Albert I, Cosley D, et al. On the recommending of citations for research papers[EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=587096.
[13] Strohman T, Croft W B, Jensen D. Recommending citations for academic papers[EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=1277868.
[14] Tang Jie, Zhang Jing. A discriminative approach to topic-based citation recommendation [M]//Advances in Knowledge Discovery and Data Mining. Berlin: Springer Berlin Heidelberg, 2009: 572-579.
[15] He Qi, Pei Jian, Kifer D, et al. Context-aware citation recommendation[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=1772734.
[16] Lu Yang, He Jing, Shan Dongdong, et al. Recommending citations with translation model [EB/OL].[2015-04-25].http://dl.acm.org/citation.cfm?id=2063879.
[17] He Qi, Kifer D, Pei Jian, et al. Citation recommendation without author supervision [EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=1935926.
[18] Küçüktunç O, Saule E, Kaya K, et al. Result diversification in automatic citation recommendation[EB/OL]. [2015-04-25].https://scholar.google.com/scholar?q=Result+diversification+in+automatic+citation+recommendation&btnG=&hl=zh-CN&as_sdt=0%2C5.
[19] Küçüktunç O, Saule E, Kaya K, et al. Diversified recommendation on graphs: Pitfalls, measures, and algorithms[EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=2488451.
[20] Küçüktunç O, Saule E, Kaya K, et al. Diversifying citation recommendations[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2014, 5(4): 1-19.
[21] Liu Yaning, Yan Rui, Yan Hongfei. Guess what you will cite: Personalized citation recommendation based on users' preference[EB/OL]. [2015-04-25]. http://link.springer.com/chapter/10.1007/978-3-642-45068-6_37.
[22] Sugiyama K, Kan M Y. Exploiting potential citation papers in scholarly paper recommendation[EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=2467701.
[23] Gebremeskel G G, He Jie, De Vries A P, et al. Cumulative citation recommendation: A feature-aware comparison of approaches[EB/OL].[2015-04-25].http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6974848&tag=1.
[24] Balog K, Ramampiaro H, Takhirov N, et al. Multi-step classification approaches to cumulative citation recommendation[EB/OL]. [2015-04-25].http://dl.acm.org/citation.cfm?id=2491775.
[25] Balog K, Ramampiaro H. Cumulative citation recommendation: Classification vs. ranking[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=2484151.
[26] Dietz L, Dalton J, Balog K. Time-aware evaluation of cumulative citation recommendation systems[EB/OL]. [2015-04-25].https://scholar.google.com/scholar?q=Time-aware+evaluation+of+cumulative+citation+recommendation+systems&btnG=&hl=zh-CN&as_sdt=0%2C5.
[27] Abbes R, Pinel-Sauvagnat K, Hernandez N, et al. IRIT at TREC knowledge base acceleration 2013: Cumulative citation recommendation task[EB/OL].[2015-04-25]. https://hal.archives-ouvertes.fr/hal-01143717/.
[28] Wang Jingang, Song Dandan, Wang Qifan, et al. An entity class-dependent discriminative mixture model for cumulative citation recommendation[EB/OL].[2015-04-25].http://dl.acm.org/citation.cfm?id=2767698.
[29] Wang Jingang, Liao Lejian, Song Dandan, et al. Resorting relevance evidences to cumulative citation recommendation for knowledge base acceleration[M]//Web-Age Information Management. Berlin: Springer International Publishing, 2015: 169-180.
[30] Bela G, Jöran B, Christian H. Scienstein: A research paper recommender system [C]//Proceedings of the International Conferenceon Emerging Trends in Computing. Virudhunagar: Kamaraj College of Engineering and Technology India, 2009: 309-315.
[31] 刘洋, 崔雷. 引文上下文在文献内容分析中的信息价值研究[J]. 图书情报工作, 2014, 58(6): 101-104.
[32] 雷声伟. 学术文献的引文上下文探测研究[D]. 武汉:武汉大学, 2015.
[33] Bradshaw, S. Reference directed indexing: Redeeming relevance for subject search in citation indexes [C]//Proceedings of the 7th European Conference, ECDL'03. Berlin: Springer Berlin Heidelberg, 2003: 499-510.
[34] Nakov P I, Schwartz A S, Hearst M. Citances: Citation sentences for semantic analysis of bioscience text[EB/OL]. [2015-04-25].https://scholar.google.com/scholar?q=Citances%3A+Citation+sentences+for+semantic+analysis+of+bioscience+text&btnG=&hl=zh-CN&as_sdt=0%2C5.
[35] Ritchie A. Citation context analysis for information retrieval [D].Cambridge: University of Cambridge, 2008.
[36] Angrosh M A, Cranefield S, Stanger N. Conditional random field based sentence context identification:Enhancing citation services for the research community[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=2527216.
[37] 陆炀. 基于翻译模型的引文推荐[D]. 北京:北京大学, 2013.
[38] Huang Wenyi, Saurabh K, Cornelia C, et al. Recommending citations: Translating papers into references [EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=2398542.
[39] 刘盛博, 丁堃, 刘则渊. 基于引用内容的引文检索与推荐系统[J]. 情报学报, 2013, 32(11): 1157-1163.
[40] Gori M, Pucci A. Research paper recommender systems: A random-walk based approach[EB/OL]. [2015-04-25]. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4061472.
[41] Meng Fanqi, Gao Dehong, Li Wenjie, et al. A unified graph model for personalized query-oriented reference paper recommendation[EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=2507831.
[42] Nallapati R M, Ahmed A, Xing E P, et al. Joint latent topic models for text and citations[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=1401957.
[43] Bethard S, Jurafsky D. Who should I cite:Learning literature search models from citation behavior[EB/OL].[2014-04-25]. http://dl.acm.org/citation.cfm?id=1871517.
[44] Erosheva E, Fienberg S, Lafferty J. Mixed-membership models of scientific publications[J]. Proceedings of the National Academy of Sciences, 2004, 101(suppl 1): 5220-5227.
[45] Nie J Y, Simard M, Isabelle P, et al. Cross-language information retrieval based on parallel texts and automatic mining of parallel texts from the Web[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=312656.
[46] Grefenstette G. The problem of cross-language information retrieval[M]//Cross-Language Information Retrieval. Berlin: Springer US, 1998: 1-9.
[47] Gollins T, Sanderson M. Improving cross language retrieval with triangulated translation[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=383965.
[48] Sugiyama K, Kan M Y. A comprehensive evaluation of scholarly paper recommendation using potential citation papers[J]. International Journal on Digital Libraries, 2014, 16(2): 91-109.
[49] Sun Yueheng, Ni Weijie, Men Rui. A personalized paper recommendation approach based on web paper mining and reviewer's interest modeling[EB/OL].[2015-04-25]. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5401291.
[50] Chandrasekaran K, Gauch S, Lakkaraju P, et al. Concept-based document recommendations for citeseer authors[C]//Adaptive Hypermedia and Adaptive Web-Based Systems. Berlin: Springer Berlin Heidelberg, 2008: 83-92.
[51] Giles C L, Bollacker K D, Lawrence S. CiteSeer: An automatic citation indexing system[EB/OL].[2015-04-25].http://dl.acm.org/citation.cfm?id=276685.
[52] Blei D M, Lafferty J D. Dynamic topic models[EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=1143859.
[53] Li Wei, McCallum A. Pachinko allocation: DAG-structured mixture models of topic correlations[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=1143917.
[54] Lafferty J D, Blei D M. Correlated topic models[EB/OL].[2015-04-25]. https://scholar.google.com/scholar?q=Correlated+topic+models&btnG=&hl=zh-CN&as_sdt=0%2C5.
[55] Hofmann D C T. The missing link-A probabilistic model of document content and hypertext connectivity[C]//Proceedings of the 2000 Conference on Advances in Neural Information Processing Systems.Massachusetts: The MIT Press, 2001: 430-436.
[56] Bhatia S, Kataria S, Mitra P. Utilizing context in generative bayesian models for linked corpus[EB/OL]. [2015-04-25]. http://www.aaai.org/ocs/index.php/AAAI/AAAI10/index.
[57] He Jing, Nie Jian Yun, Lu Yang, et al. Position-aligned translation model for citation recommendation[C]//String Processing and Information Retrieval. Berlin: Springer Berlin Heidelberg, 2012: 251-263.
[58] 丁彬钊. 基于引文信息的协同过滤算法研究[D]. 长春:吉林大学, 2011.
[59] Ding Zhou, Zhu Shenghuo, Yu Kai, et al. Learning multiple graphs for document recommendations [EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=1367517.
[60] Wang Chong, Blei D M. Collaborative topic modeling for recommending scientific articles[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=2020480.
[61] Basu C, Hirsh H, Cohen W W, et al. Technical paper recommendation: A study in combining multiple information sources[J]. Journal of Artificial Intelligence Research, 2002, 14: 241-262.
[62] Huang Zan, Chung Wingyan, Ong T H, et al. A graph-based recommender system for digital library[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=544231.
[63] Torres R, McNee S M, Abel M, et al. Enhancing digital libraries with TechLens+[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=996402.
[64] Zhang Ming, Wang Weichun, Li Xiaoming. A paper recommender for scientific literatures based on semantic concept similarity[M]//Digital Libraries: Universal and Ubiquitous Access to Information. Berlin: Springer Berlin Heidelberg, 2008: 359-362.
[65] 石杰, 申德荣, 聂铁铮, 等. 一种基于多因素的引文推荐方法[J]. 计算机研究与发展, 2011 (S3): 180-188.
[66] 石杰. 基于多因素的引文推荐策略研究[D]. 沈阳:东北大学, 2011.
[67] Wellner B, McCallum A, Peng F, et al. An integrated, conditional model of information extraction and coreference with application to citation matching[EB/OL].[2015-04-25]. http://dl.acm.org/citation.cfm?id=1036915.
[68] KBA stream corpus 2012 [EB/OL]. [2015-4-10].http://trec-kba.org/kba-stream-corpus-2012.shtml.
[69] Yan Rui, Tang Jie, Liu Xiaobing, et al. Citation count prediction: Learning to estimate future citations for literature[EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=2063757.
[70] Shaparenko B, Joachims T. Identifying the original contribution of a document via language modeling[M]//Machine Learning and Knowledge Discovery in Databases. Berlin: Springer Berlin Heidelberg, 2009: 350-365.
[71] Karimzadehgan M, Zhai Cheng Xiang. Estimation of statistical translation models based on mutual information for ad hoc information retrieval[EB/OL]. [2015-04-25]. http://dl.acm.org/citation.cfm?id=1835505.
[72] Mani I, Maybury M T. Advances in automatic text summarization[J]. Compare, 1998, 32(3):88-90.
[73] Das D, Martins A F T. A survey on automatic text summarization[J]. Literature Survey for the Language and Statistics II course at CMU, 2007, 4: 192-195.
[74] Kim S N, Medelyan O, Kan M Y, et al. Automatic keyphrase extraction from scientific articles[J]. Language resources and evaluation, 2013, 47(3): 723-742.
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