Full-text based context-rich heterogeneous network mining approach for citation recommendation

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

Volumn , Issue , 2014, Pages 361-370

  Liu, Xiaozhong ^a   Yu, Yingying ^b   Guo, Chun ^a   Sun, Yizhou ^c   Gao, Liangcai ^d  

^a INDIANA UNIVERSITY   (United States)

^b DALIAN MARITIME UNIVERSITY   (China)

^c Northeastern University   (United States)

^d PEKING UNIVERSITY   (China)

Author keywords

Citation Recommendation; Full text Citation Analysis; Heterogeneous Information Network; Meta Path

Indexed keywords

DIGITAL LIBRARIES; HETEROGENEOUS NETWORKS; INFORMATION SERVICES; MOTIVATION;

CITATION ANALYSIS; CITATION INFORMATION; CITATION RECOMMENDATION; HETEROGENEOUS INFORMATION; META-PATH; RECOMMENDATION ALGORITHMS; RECOMMENDATION PERFORMANCE; SCIENTIFIC PUBLICATIONS;

TEXT MINING;

EID: 84919383101     PISSN: 15525996     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/JCDL.2014.6970191     Document Type: Conference Paper

References (30)

1. Q. He, J. Pei, D. Kifer, P. Mitra, and L. Giles, "Context-aware citation recommendation," in Proceedings of the 19th international conference on World wide web. ACM, 2010, pp. 421-430.
2. Q. He, D. Kifer, J. Pei, P. Mitra, and C. L. Giles, "Citation recommendation without author supervision," in Proceedings of the fourth ACM international conference on Web search and data mining. ACM, 2011, pp. 755-764.
3. N. Lao and W. W. Cohen, "Relational retrieval using a combination of path-constrained random walks," Machine learning, vol. 81, no. 1, pp. 53-67, 2010.
4. X. Liu, J. Zhang, and C. Guo, "Full-text citation analysis: A new method to enhance scholarly networks," Journal of the American Society for Information Science and Technology, vol. 64, no. 9, pp. 1852-1863, 2013.
5. D. Ramage, D. Hall, R. Nallapati, and C. D. Manning, "Labeled lda: A supervised topic model for credit attribution in multi-labeled corpora," in Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1-Volume 1. Association for Computational Linguistics, 2009, pp. 248-256.
6. Y. Sun, J. Han, X. Yan, P. S. Yu, and T. Wu, "PathSim: Meta path-based top-k similarity search in heterogeneous information networks," in Proc. 2011 Int. Conf. Very Large Data Bases (VLDB'11), Seattle, WA, 2011, pp. 992-1003.
7. X. Liu, J. Zhang, and C. Guo, "Full-text citation analysis: enhancing bibliometric and scientific publication ranking," in Proceedings of the 21st ACM international conference on Information and knowledge management. ACM, 2012, pp. 1975-1979.
8. Y. Ding, X. Liu, C. Guo, and B. Cronin, "The distribution of references across texts: Some implications for citation analysis," Journal of Informetrics, vol. 7, no. 3, pp. 583-592, 2013.
9. C. Guo, J. Zhang, and X. Liu, "Scientific metadata quality enhancement for scholarly publications," in iConference, 2012, pp. 777-780.
10. D. Shotton, "Cito, the citation typing ontology, and its use for annotation of reference lists and visualization of citation networks," in Bio-Ontologies 2009 Special Interest Group meeting at ISMB, 2009.
11. M. Dabrowski, M. Synak, and S. R. Kruk, "Bibliographic ontology," in Semantic digital libraries. Springer, 2009, pp. 103-122.
12. D. C. M. Initiative et al., "Dublin core metadata element set, version 1. 1," 2008.
13. Y. Ding, X. Liu, C. Guo, and B. Cronin, "The distribution of references across texts: Some implications for citation analysis," Journal of Informetrics, vol. 7, no. 3, pp. 583-592, 2013.
14. X. Wan and F. Liu, "Are all literature citations equally important? automatic citation strength estimation and its applications," Journal of the Association for Information Science and Technology, 2014.
15. K. Chandrasekaran, S. Gauch, P. Lakkaraju, and H. P. Luong, "Concept-based document recommendations for citeseer authors," in Adaptive Hypermedia and Adaptive Web-Based Systems. Springer, 2008, pp. 83-92.
16. X. Yin, J. X. Huang, and Z. Li, "Mining and modeling linkage information from citation context for improving biomedical literature retrieval," Information Processing and Management, vol. 47, no. 1, pp. 53-67, 2011.
17. H. Xia, J. Li, J. Tang, and M.-F. Moens, "Plink-lda: Using link as prior information in topic modeling," in Database Systems for Advanced Applications. Springer, 2012, pp. 213-227.
18. X. Shi, J. Leskovec, and D. A. McFarland, "Citing for high impact," in Proceedings of the 10th annual joint conference on Digital libraries. ACM, 2010, pp. 49-58.
19. D. Walker, H. Xie, K.-K. Yan, and S. Maslov, "Ranking scientific publications using a model of network traffic," Journal of Statistical Mechanics: Theory and Experiment, vol. 2007, no. 06, p. P06010, 2007.
20. L. Dietz, S. Bickel, and T. Scheffer, "Unsupervised prediction of citation influences," in Proceedings of the 24th international conference on Machine learning. ACM, 2007, pp. 233-240.
21. R. M. Nallapati, A. Ahmed, E. P. Xing, and W. W. Cohen, "Joint latent topic models for text and citations," in Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2008, pp. 542-550.
22. A. Ritchie, S. Robertson, and S. Teufel, "Comparing citation contexts for information retrieval," in Proceedings of the 17th ACM conference on Information and knowledge management. ACM, 2008, pp. 213-222.
23. E. V. Bernstam, J. R. Herskovic, Y. Aphinyanaphongs, C. F. Aliferis, M. G. Sriram, and W. R. Hersh, "Using citation data to improve retrieval from medline," Journal of the American Medical Informatics Association, vol. 13, no. 1, pp. 96-105, 2006.
24. S. Gerrish and D. M. Blei, "A language-based approach to measuring scholarly impact," in Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010, pp. 375-382.
25. Y. Sun, R. Barber, M. Gupta, C. Aggarwal, and J. Han, "Co-author relationship prediction in heterogeneous bibliographic networks." in Proc. 2011 Int. Conf. Advances in Social Network Analysis and Mining (ASONAM'11), Kaohsiung, Taiwan, 2011, pp. 121-128.
26. Y. Sun, J. Han, C. C. Aggarwal, and N. Chawla, "When will it happen? relationship prediction in heterogeneous information networks," in Proc. 2012 ACM Int. Conf. on Web Search and Data Mining (WSDM'12), Seattle, WA, 2012.
27. Y. Sun, B. Norick, J. Han, X. Yan, P. S. Yu, and X. Yu, "Integrating meta-path selection with user guided object clustering in heterogeneous information networks," in Proc. of 2012 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'12), Beijing, China, 2012, pp. 1348-1356.
28. X. Yu, X. Ren, Y. Sun, B. Sturt, U. Khandelwal, Q. Gu, B. Norick, and J. Han, "Heterec: Entity recommendation in heterogeneous information networks with implicit user feedback," in Proc. of 2013 ACM Int. Conf. Series on Recommendation Systems (RecSys'13), Hong Kong, 2013, pp. 347-350.
29. X. Yu, X. Ren, Y. Sun, Q. Gu, B. Sturt, U. Khandelwal, B. Norick, and J. Han, "Personalized entity recommendation: A heterogeneous information network approach," in Proc. 2014 ACM Int. Conf. on Web Search and Data Mining (WSDM'14), New York, 2014, pp. 283-292.
30. Y. Lv, C. Zhai, and W. Chen, "A boosting approach to improving pseudo-relevance feedback," in Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval. ACM, 2011, pp. 165-174.