KernelRank: Exploiting semantic linkage kernels for relevant pages finding

Chinese Journal of Electronics

Volumn 18, Issue 3, 2009, Pages 405-410

  Wang, Yaowei ^a   Su, Limin ^b   Tian, Yonghong ^c  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b BEIJING UNION UNIVERSITY   (China)

^c PEKING UNIVERSITY   (China)

Author keywords

Knerna rank; Machine learning; Semantic link

Indexed keywords

ARTIFICIAL INTELLIGENCE; HYPERTEXT SYSTEMS; LEARNING SYSTEMS;

FINDING ALGORITHM; HYPERLINKS; KNERNUM RANK; LATENT SEMANTICS; MACHINE-LEARNING; REAL WORLD WEB; SEMANTIC LINK; SEMANTIC RELATIONSHIPS; WEB DATA;

SEMANTICS;

EID: 69249193145     PISSN: 10224653     EISSN: 20755597     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. A. Bernstein, S. Clearwater and F. Provost, "The relational vector-space model and industry classification", IJCAI-SOOS Workshop on Learning Statistical Models from Relational Data, Acapulco, Mexico, pp.8-18, 2003.
2. P. Bailey, N. Craswell, D. Hawking, "Engineering a multipurpose test collection for web retrieval experiments", Source Information Processing and Management: an International Journal Archive, Pergamon Press, Inc., Tarrytown, NY, USA. Vol.39, No.6, pp.853-871, 2003.
3. K. Bharat, M. Henzinger, "Improved algorithms for topic distillation in a hyperlinked environment", In Proceedings of 21st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'98), Melbourne, Australia, pp.104-111, 1998.
4. M. Breitenbach, G.Z. Grudic, "Clustering with Local and Global Consistency", Technical Report, CU-CS-973-04, Dept. of Computer Science, University of Colorado, Boulder, USA, pp.1-8, 2004.
5. S. Chakrabarti, "Integrating the document object model with hyperlinks for enhanced topic distillation and information extraction", In: Shen V.Y. et al. ed. Proceedings of 10th International World Wide Web Conference WWW2001, Hong Kong, ACM Press, pp.211-220, 2001.
6. J. Dean and M. Henzinger, "Finding related pages in the World Wide Web", In: Proceedings of 8th International World Wide Web Conference (WWW8), Toronto, Canada, Elsevier Science B.V, pp.389-401, 1999.
7. S. Deerwester, S.T. Dumais, G.W. Furnas, T.K. Landauer and R. Harshman, "Indexing by latent semantic analysis", Journal of the American Society for Information Science, Vol.41, No.6, pp.389-401, 1990.
8. P. Drineas, R. Kannan, A. Frieze, V. Vinay, "Clustering large graphs via the singular value decomposition", Machine Learning, Vol.56, pp.9-33, 2004.
9. T. Gartner, "A survey of kernels fro structured data", SIGKDD Explorations, Vol.5, No.l, 2003.
10. G.H. Golub and C.F. Van Loan, Matrix Computations (second ed). The Johns Hopkins Univ. Press, Baltimore, MD, 1989.
11. J. Hou, Y. Zhang, "Effectively finding relevant web pages from linkage information", IEEE Transaction on Knowledge and Data Engineering, Vol.15, No.4, pp.940-951, 2003.
12. T. Joachims, N. Cristianini, J. Shawe-Talyor, "Composite kernels for hypertext categorization", In: Proceedings of the International Conference on Machine Learning (ICML-2001), San Francisco, USA. Morgan Kaunfmann Publishers, pp.250-257, 2001.
13. N. Cristianini, J. Shawe-Talyor and H. Lodhi, "Latent semantic kernels", Journal of Intelligent Information Systems, Vol.18, No.2/3, pp. 127-152, 2002. (Pubitemid 34149556)
14. H.Y. Kao, S.H. Lin, J.M. Ho, M.S. Chen, "Mining web informative structures and contents based on entropy analysis", IEEE TYansaction on Knowledge and Data Engineering, Vol.18, No.l, pp.940-951, 2004.
15. J. Kleinberg, "Authoritative sources in a hyperlinked environment", Journal of the ACM, Vol.46, pp.604-632, 1999.
16. R.I. Kondor and J. Lafferty, "Diffusion kernels on graphs and other discrete structures", In C. Sammut and A. Hoffman (eds): Proceedings of the 19th International Conference on Machine Learning (ICML02), Morgan Kaufmann, pp.315-322, 2002.
17. B. Scholkopf, "Statistical learning and kernel methods", Technical Report, MSR-TR-2000-23, Microsoft Research, Cambridge, UK, pp. 1-28, 2000.
18. B. Schölkopf, "The kernel trick for distances", Technical Report, MSR-TR-2000-51, Microsoft Research, Cambridge, UK, pp. 1-7, 2000.
19. Y.H. Tian, T.J. Huang, W. Gao, "Latent linkage semantic kernels for collective classification of link data", Journal of Intelligent Information Systems, J. Intell. Inf. Syst (2006), Vol.26, pp.269-301, 2006 (Pubitemid 44214544)