Abstract
This paper presents a similarity-aware multiagent-based web content management scheme. Based on a set of similarity measures that assess similarities between web documents, we propose a similarity-aware multi-cache architecture, in which the cached web documents are organized into a number of sub-caches according to their content similarity. A predictor is then developed to predict the cached documents a user might access next. Once a pre-fetching plan was formed, a set of agents are employed to work together for pre-fetching document between proxy caches and browsing clients. Preliminary experiments have shown that our predictor offers superior performance when compared with some existing prediction algorithms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fan, L., Cao, P., Lin, W., Jacobson, Q.: Web Prefetching between Low-Bandwidth Client and Proxies: Potential and Performance. In: SIGMETRICS 1999 (1999)
Xiao, J., Zhang, Y., Jia, X.: Measuring Similarity of Interests for Clustering Web-Users. In: Proceedings of the 12th Australian Database Conference 2001 (ADC 2001), Gold Coast, Australia, pp. 107–114 (2001)
Salton, G.: Automatic Information Organization and Retrieval. McGraw-Hill, New York (1968)
Rasmussen, E.: Clustering algorithms. Information Retrieval: Data Structure and Algorithms, pp. 419–442. Prentice Hall, Englewood Cliffs (1992)
Deerwester, S., Dumais, S.T., Landauer, T.K., Furnas, G.W., Harshman., R.A.: Indexing by Latent Semantics Analysis. Journal of the Society for Information Science 41(6), 391–407
Dumais, S.T., Furnas, G.W., Landauer, T.K., Deerwester, S.: Using Latent Semantic Analysis to Improve Information Retrieval. In: Proceedings of the CHI 1988: Conference on Human Factors in Computing Systems, pp. 281–285. ACM, New York (1988)
Dean, J., Henzinger, M.R.: Finding Related Pages in the World-Wide Web. In: Proceedings of the 8th International Conference on World Wide Web (1999)
Kleinberg, J.M.: Authoritative Sources in a Hyperlinked Environment. J. of the ACM (JACM) 46(5), 604–632
Larson, R.R.: Bibliometrics of the World-Wide Web: An Exploratory Analysis of the Intellectual Structure of Cyberspace. In: Proceedings of the Annual Meeting of the American Society for Information Science, Baltimore, Maryland (1996)
Pitkow, J., Pirolli, P.: Life, Death, and Lawfulness on the Electronic Frontier. In: Proceedings of the Conference on Human Factors in Computing Systems, Atlanda, Georgia (1997)
Flesca, S., Masciari, E.: Efficient and Effective Web Change Detection, Data and Knowledge Engineering. Elsevier, Amsterdam (2003)
Fox, E.: Extending the Boolean and Vector Space Models on Information Retrieval with P-Norm Queries and Multiple Concepts Types. Cornell University Dissertation
Shaw, J.A., Fox, E.A.: Combination of Multiple Searches. In: Proceedings of the 3rd Text Retrieval Conference (TREC-3), p. 105 (1994)
Chakrabarti, S., Dom, B.E., Kumar, S.R., Raghavan, P., Rajagopalan, S., Tomkins, A., Gibson, D., Kleinberg, J.M.: Mining the Web’s Link Structure. IEEE Computer 32(8), 60–67
Rocchio, J.J., McGill, M.J.: Relevance Feedback in Information Retrieval. Prentice-Hall Inc., Englewood Cliff (1997)
Ide, E.: New Experiments in Relevance Feedback. Prentice-Hall, Englewood Cliffs (1971)
Brauen, T.: Document Vector Modification. Prentice-Hall Inc., Englewood Cliffs (1971)
Popescul, A., Flake, G., Lawrence, S., Ungar, L.H., Gile, C.L.: Clustering and Identifying Temporal Trends in Document Database. In: Proceedings of the IEEE advances in Digital Libraries, Washington (2000)
Beefermand, D., Berger, A.: Agglomerative clustering of a search engine query log. In: Proceedings of the sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, MA, pp. 407–415 (2000)
Wen, J.R., Nie, J.Y., Zhang, H.J.: Query Clustering Using User Logs. ACM Transactions on Information Systems (TOIS) 20(1), 59–81 (2002)
Su, Z., Yang, Q., Zhang, H.J., Xu, X., Hu, Y.: Correlation-Based Document Clustering Using Web Logs. In: Proceedings of the 34th Hawaii International Conference on System Science, Hawaii, USA (2001)
Bradshaw, J.M.: Software Agents. AAAI Press/MIT Press, San Francisco (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xiao, J., Wang, J. (2006). A Similarity-Aware Multiagent-Based Web Content Management Scheme. In: Yeung, D.S., Liu, ZQ., Wang, XZ., Yan, H. (eds) Advances in Machine Learning and Cybernetics. Lecture Notes in Computer Science(), vol 3930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11739685_32
Download citation
DOI: https://doi.org/10.1007/11739685_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33584-9
Online ISBN: 978-3-540-33585-6
eBook Packages: Computer ScienceComputer Science (R0)