A Query-oriented Approach for Relevance in Citation Networks

WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web

Volumn , Issue , 2016, Pages 401-406

  Totti, Luam C ^a   Mitra, Prasenjit ^a   Ouzzani, Mourad ^a   Zaki, Mohammed J ^b  

^a QATAR COMPUTING RESEARCH INSTITUTE   (Qatar)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

citation network analysis; paper recommendation; relevance flow

Indexed keywords

AGE-BASED; CITATION CONTEXTS; CITATION NETWORK ANALYSE; CITATION NETWORKS; CONTENT SIMILARITY; KEYWORD-BASED; MULTI-LAYER GRAPHS; PAPER RECOMMENDATIONS; RELEVANCE FLOW; SEED-SET;

WORLD WIDE WEB;

EID: 85029292584     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2872518.2890518     Document Type: Conference Paper

References (20)

1. C. Basu, H. Hirsh, and W. W. Cohen. Technical paper recommendation: A study in combining multiple information sources. Journal of Artificial Intelligence Research, 14: 231-252, 2001.
2. J. Beel, B. Gipp, S. Langer, and C. Breitinger. Researchpaper recommender systems: A literature survey. Interna-tional Journal on Digital Libraries, pages 1-34, 2015.
3. S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems, 30 (1): 107-117, 1998.
4. C. L. Giles, K. D. Bollacker, and S. Lawrence. Citeseer: An automatic citation indexing system. In ACM Conference on Digital Libraries, 1998.
5. Q. He, J. Pei, D. Kifer, P. Mitra, and L. Giles. Context-aware citation recommendation. In International Conference on World Wide Web, 2010.
6. K. S. Jones, S. Walker, and S. E. Robertson. A probabilistic model of information retrieval: development and comparative experiments: Part 1 & 2. Information Processing & Management, 36 (6): 779-808, 809-840, 2000.
7. J. M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of ACM, 46 (5): 604-632, 1999.
8. C. D. Manning, P. Raghavan, and H. Schãijtze. Introduc-tion to Information Retrieval. Cambridge University Press, Cambridge, UK, 2008.
9. S. M. McNee, I. Albert, D. Cosley, P. Gopalkrishnan, S. K. Lam, A. M. Rashid, J. A. Konstan, and J. Riedl. On the recommending of citations for research papers. In ACM Con-ference on Computer Supported Cooperative Work, 2002.
10. F. Meng, D. Gao, W. Li, X. Sun, and Y. Hou. A unified graph model for personalized query-oriented reference paper recommendation. In ACM Conference on Information and Knowledge Management, 2013.
11. X. Ren, J. Liu, X. Yu, U. Khandelwal, Q. Gu, L. Wang, and J. Han. Cluscite: Effiective citation recommendation by information network-based clustering. In ACM International Conference on Knowledge Discovery and Data Mining, 2014.
12. A. Ritchie, S. Robertson, and S. Teufel. Comparing citation contexts for information retrieval. In ACM Conference on Information and knowledge management, 2008.
13. T. Strohman, W. B. Croft, and D. Jensen. Recommending citations for academic papers. In ACM Conference on Research and Development in Information Retrieval, 2007.
14. J. Tang and J. Zhang. A discriminative approach to topicbased citation recommendation. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2009.
15. J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. Arnetminer: Extraction and mining of academic social networks. In Proceedings of the 14th ACM SIGKDD Interna-tional Conference on Knowledge Discovery and Data Min-ing, KDD '08, 2008.
16. M. Valenzuela, V. Ha, and O. Etzioni. Identifying meaningful citations. In AAAI Workshop on Scholarly Big Data, 2015.
17. D. Walker, H. Xie, K.-K. Yan, and S. Maslov. Ranking scientiffic publications using a simple model of network Trafic. Journal of Statistical Mechanics: Theory and Experiment, (06): P06010, 2007.
18. C. Wang and D. M. Blei. Collaborative topic modeling for recommending scientific articles. In ACM International Con-ference on Knowledge Discovery and Data Mining, 2011.
19. N. Zheng and Q. Li. A recommender system based on tag and time information for social tagging systems. Expert Systems with Applications, 38 (4): 4575-4587, 2011.
20. D. Zhou, S. Zhu, K. Yu, X. Song, B. L. Tseng, H. Zha, and C. L. Giles. Learning multiple graphs for document recommendations. In International Conference on World Wide Web, 2008.