Abstract
The Flexible Organizer for Competitive Intelligence (FOCI) is a personalised web intelligence system that provides an integrated platform for gathering, organising, tracking, and disseminating competitive information on the web. FOCI builds personalised information portfolios through a novel method called User-Configurable Clustering, which allows a user to personalise his/her portfolios in terms of the content as well as the organisational structure. This paper outlines the key challenges we face in personalised information management and gives a detailed account of FOCI’s underlying personalisation mechanism. For a quantitative evaluation of the system’s performance, we propose a set of performance indices based on information entropy that measures the degree of matching between a system-generated cluster structure and a user-preferred category organisation. Experimental results of a case study show that FOCI’s personalisation increases the degree of matching tremendously after a reasonable number of operations. In addition, the personalised portfolios can be used to track and organise new information with a good level of performance.
Similar content being viewed by others
References
Boley DL (1998) Principal direction divisive partitioning. Data Min Knowl Discovery 2(4):325–344
Carpenter GA, Grossberg S (1987a) A massively parallel architecture for a self-organizing neural pattern recognition machine. Comput Vision Graphics Image Process 37:54–115
Carpenter GA, Grossberg S (1987b) ART 2: Self-organization of stable category recognition codes for analog input patterns. Appl Opt 26:4919–4930
Carpenter GA, Grossberg S, Rosen DB (1991a) ART 2-A: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 4:493–504
Carpenter GA, Grossberg S, Rosen DB (1991b) Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 4:759–771
Chesnais P, Mucklo M, Sheena J (1995) The Fishwrap personalized news system. Proceedings of the IEEE Second International Workshop on Community Networking Integrating Multimedia Services to the Home, pp 275–282, http://fishwrap.mit.edu
Duda R, Hart P (1973) Pattern Classification and Scene Analysis. John Wiley & Sons, New York
Kamba T, Bharat K, Albers M (1995) The Krakatoa Chronicle – an interactive, personalized, newspaper on the web. Proceedings of the Fourth International World Wide Web Conference, pp 159–170
Kanagasa R, Tan A-H (2001) Topic detection, tracking and trend analysis using self-organizing neural networks. Proceedings of the Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp 102–107
Kaski S, Honkela T, Lagus K, Kohonen T (1996) Creating an order in digital libraries with self-organizing maps. Proceedings of the World Congress on Neural Networks, pp 814–817
Kohonen T (1988) Self-organization and Associative Memory. Springer-Verlag, Berlin
Kurki T, Jokela S, Sulonen R, Turpeinen M (1999) Agents in delivering personalized content based on semantic metadata. Proceedings of the 1999 AAAI Spring Symposium Workshop on Intelligent Agents in Cyberspace, pp 84–93
Li W-S, Vu Q, Agrawal D, Hara Y, Takano H (1999) PowerBookmarks: A system for personalizable web information organization, sharing, and management. Comput Networks 31(11–16):1375–1389
Manber U, Patel A, Robison J (2000) Experience with personalization on Yahoo! Commun ACM 43(8):35–39
Mladenic D (1996) Personal webwatcher: design and implementation. Technical report, J Stefan Institute, Department of Intelligent Systems, Ljubljana
Ong H-L, Tan A-H, Ng J, Pan H, Li Q-X (2001) FOCI: Flexible organizer for competitive intelligence. Proceedings of the Tenth International Conference on Information and Knowledge Management, pp 523–525
Oostendorp KA, Punch WF, Wiggins RW (1994) A tool for individualizing the web. Proceedings of the Second International World Wide Web Conference, pp 49–59
Riecken D (2000) Representation is everything. Commun ACM 43(8):89–91
Rucker J, Polanco MJ (1997) Siteseer: Personalized navigation for the web. Commun ACM 40(3):73–75
Tan A-H (1995) Adaptive Resonance Associative Map. Neural Networks 8(3):437–446
Tan A-H (1997) Cascade ARTMAP: Integrating neural computation and symbolic knowledge processing. IEEE Trans Neural Networks 8(2):237–250
Tan A-H, Ong H-L, Pan H, Ng J, Li Q-X (2001) FOCI: A personalized web intelligence system. Proceedings of the IJCAI Workhop on Intelligence Techniques for Web Personalization, pp 14–19
Tan A-H, Pan H (2002) Adding personality to information clustering. Proceedings of the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp 251–256
Thomas C, Fischer G (1997) Using agents to personalize the web. Proceedings of the ACM International Conference on Intelligent User Interfaces, pp 53–60
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Tan, AH., Ong, HL., Pan, H. et al. Towards personalised web intelligence. Know. Inf. Sys. 6, 595–616 (2004). https://doi.org/10.1007/s10115-003-0130-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10115-003-0130-9