Agent Mediated Collaborative Web Page Filtering
Citation:
Green, Shaw; Cunningham, Padraig. 'Agent Mediated Collaborative Web Page Filtering'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-1998-11, 1998, pp11Download Item:
TCD-CS-1998-11.pdf (PDF) 66.85Kb
Abstract:
Intelligent filtering of multimedia documents such as World Wide
Web (WWW) pages is an extremely difficult task to automate. However, the
determination of a page?s relevance to one?s interests is a skill that comes with
ease to most humans. This paper outlines a system architecture, developed using
Agent Oriented Design (AOD), aimed at providing page filtering within a
limited domain. This domain is specified via an explicit taxonomy. A prototype
system was built using this architecture, which draws upon a user's innate
ability to determine the relevance of web pages to their own information needs.
It is argued that the resulting system incorporates the best aspects of existing
Automated Collaborative Filtering (ACF) systems, whilst still retaining the
benefits of the more traditional, feature based approach. In support of this claim
and the general success of these systems, initial evaluation of the system is also
reported.
Description:
Also in Proceedings of Second International Workshop on Cooperative Information Agents, eds. M. Klusch, G. Wei?, Lecture Notes in Artificial Intelligence 1435, Springer Verlag.
Author: Green, Shaw; Cunningham, Padraig
Publisher:
Trinity College Dublin, Department of Computer ScienceType of material:
Technical ReportCollections:
Series/Report no:
Computer Science Technical ReportTCD-CS-1998-11
Availability:
Full text availableKeywords:
Computer ScienceLicences: