A heuristic hierarchical scheme for academic search and retrieval

Information Processing and Management

Volumn 49, Issue 6, 2013, Pages 1326-1343

  Amolochitis, Emmanouil ^a,b   Christou, Ioannis T ^a   Tan, Zheng Hua ^b   Prasad, Ramjee ^b  

^a ATHENS INFORMATION TECHNOLOGY   (Greece)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

Academic search; Heuristic document re ranking; Search and retrieval

Indexed keywords

ACADEMIC PUBLICATIONS; ACADEMIC SEARCH; DIGITAL REPOSITORY; HEURISTIC SCHEMES; LEXICOGRAPHIC RULES; META SEARCH ENGINES; RE-RANKING; SEARCH AND RETRIEVAL;

DIGITAL LIBRARIES; GRAPH THEORY; SEARCH ENGINES;

EDUCATION;

EID: 84881162040     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2013.07.002     Document Type: Article

References (34)

1. B. Aljaber, N. Stokes, J. Bailey, and J. Pei Document clustering of scientific texts using citation contexts Journal of Information Retrieval 13 2 2009 101 131
2. Amolochitis, E., Christou, I. T., & Tan, Z. -H. (2012). PubSearch: a hierarchical heuristic scheme for ranking academic search results. In Proc. 1st Intl. Conference on Pattern Recognition Applications and Methods (ICPRAM'12) (pp. 509-514), February 6-8, 2012, Algarve, Portugal.
3. R. Attar, and A.S. Fraenkel Local feedback in full-text retrieval systems Journal of the ACM 24 3 1977 397 417 (Pubitemid 8549588)
4. A. Barabsi, H. Jeong, Z. Neda, E. Ravasz, A. Schubert, and T. Viscek Evolution of the social network of scientific collaborations Physica A 311 3-4 2001 590 614
5. Beel, J., & Gipp, B. (2009). Google Scholar's ranking algorithm: an introductory overview. In Proc. 12th Intl. Conf. on Scientometrics and Infometrics (pp. 230-241), Rio de Janeiro, Brazil.
6. Breese, J. S., Heckerman, D., & Kadie, C. (1998). Empirical analysis of predictive algorithms for collaborative filtering. In Proc. 14th Intl. Conf. on Uncertainty in, Artificial Intelligence (UAI'98) (pp. 43-52).
7. Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual web search engine. In Proc. 7th Intl. Conference on World Wide Web (Web 7) (pp. 107-117).
8. C. Bron, and J. Kerbosch Algorithm 457: Finding all cliques of an undirected graph Communications of the ACM 16 9 1973 575 577
9. D. Campbell, V. Culley, C. McMahon, and F. Sellini An approach for the capture of context-dependent document relationships extracted from Bayesian analysis of users' interactions with information Journal of Information Retrieval 10 2 2007 115 141
10. Chapelle, O., Metlzer, D., Zhang, Y., & Grinspan, P. (2009). Expected reciprocal rank for graded relevance. In Proc. 18th ACM Conference on Information and Knowledge Management CIKM'09 (pp. 621-630), New York, USA.
11. I.T. Christou, G. Gkekas, and A. Kyrikou A classifier ensemble approach to the TV viewer profile adaptation problem International Journal of Machine Learning & Cybernetics 3 4 2012 313 326
12. M.R. Garey, and D.S. Johnson Computers and intractability: A guide to the theory of NP-Completeness 1979 Freeman San Francisco, CA
13. M. Girvan, and M.E.J. Newman Community structure in social and biological networks Proceedings of the National Academy of Sciences 99 2002 7281 7826
14. Harpale, A., Yang, Y., Gopal, S., He, D., & Yue, Z. (2010). CiteData: A new multi-faceted dataset for evaluating personalized search performance. In Proc. ACM Conf. on Information & Knowledge Management CIKM'10, October 26-30, 2010, Toronto, Canada.
15. Heer, J., Card, S. K., & Landay, J. A. (2005). Prefuse: A toolkit for interactive information visualization. In Proc. ACM Conf. on Human Factors in Computing Systems (CHI'05), April 2-7, 2005, Portland, OR.
16. P. Jackson, and I. Moulinier Natural language processing for online applications: Text retrieval, extraction and categorization 2002 John Benjamins Amsterdam, The Netherlands
17. Järvelin, K., & Kekäläinen, J. (2000). IR evaluation methods for retrieving highly relevant documents. In Proc. 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 131-150), July 2010.
18. Kirsch, S. M., Gnasa, M., & Cremers, A. B. (2006). Beyond the web: Retrieval in social information spaces. In Proc. 2006 European Conference on Advances in, Information Retrieval (ECIR'06) (pp. 84-95). (Pubitemid 44029455)
19. U.D. Krieger An algebraic multigrid solution of large hierarchical Markovian models arising in web information retrieval Lecture Notes in Computer Science 5233 2011 548 570
20. L. Kuncheva Combining pattern classifiers: Methods and algorithms 2004 Wiley Hoboken, NJ
21. Q. Li, Y.P. Chen, S.-H. Myaeng, Y. Jin, and B.-Y. Kang Concept unification of terms in different languages via web mining for information retrieval Information Processing & Management 45 2 2009 246 262
22. D. Liben-Nowell, and J. Kleinberg The link-prediction problem for social networks Journal of the American Society for Information Science and Technology 58 2007 1031 1109
23. Limbu, D. K., Connor, A., Pears, R., & MacDonell, S. (2006). Contextual relevance feedback in web information retrieval. In Proc. 1st Intl. Conference on Information Interaction in, Context (pp. 138-143). (Pubitemid 47142388)
24. N. Ma, J. Guan, and Y. Zhao Bringing PageRank to the citation analysis Information Processing & Management 44 2 2008 800 810 (Pubitemid 351288481)
25. C.D. Manning, P. Raghavan, and H. Schutze An introduction to information retrieval 2009 Cambridge University Press online edition
26. Martinez-Bazan, N., Muntes-Mulero, V., Gomez-Villamor, S., Nin, J., Sanchez-Martinez, M. -A., Lariba-Pey, J. -L. (2007). DEX: High-performance exploration on large graphs for information retrieval. In Proc. ACM Conf. on Information & Knowledge Management CIKM'07, November 6-8, 2007, Lisboa, Portugal.
27. M.E.J. Newman Scientific collaboration networks I: Network construction and fundamental results Physical Review E 64 1 2001 016131/1 016131/8 (Pubitemid 32693681)
28. M.E.J. Newman Coauthorship networks and patterns of scientific collaboration Proceedings of the National Academy of Sciences 101 1 2004 5200 5205 (Pubitemid 38469127)
29. M. Shaked, and J.G. Shanthikumar Stochastic orders 2007 Springer NY, NY
30. K. Sparck Jones, S. Walker, and S.E. Robertson A probabilistic model of information retrieval: Development and comparative experiments Information Processing & Management 36 6 2000 779 808
31. I. Stoica, R. Morris, D. Liben-Nowell, D.R. Karger, M.F. Kaashoek, and F. Dabek Chord: A scalable peer-to-peer lookup protocol for internet applications IEEE/ACM Transactions on Networking 11 1 2003 17 32
32. Tang, J., Jin, R., & Zhang, J. (2008). A topic modeling approach and its integration into the random walk framework for academic search. In Proc. 8th IEEE Intl. Conf. on Data Mining (ICDM'08) (pp. 1055-1060).
33. Yu, H., Mine, T., & Amamiya, M. (2005). An architecture for personal semantic web information retrieval system integrating web services and web contents. In Proc. IEEE Intl. Conference on Web Services (ICWS'05) (pp. 329-336).
34. W.H. Walters Google Scholar coverage of a multidisciplinary field Information Processing & Management 43 4 2007 1121 1132 (Pubitemid 46415629)