Rose, Tony G and Wyard, Peter J. 1997. 'An intelligent WWW agent for similarity-based searching'. In: IEE Workshop on Intelligent WWW Agents. London, United Kingdom. [Conference or Workshop Item]

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Abstract or Description

This paper describes the development of a WWW agent that uses similarity-based methods to search the Internet. The Internet Information Agent (IIA) works by analysing a sample of the type of text that is known to be of interest to the user. It then extracts a number of linguistic features and stores these as a feature vector that is used to describe the content of the document. This data is then used as input to a range of similarity metrics that allow the agent to compare new texts with the original and thereby acquire "more of the same". The agent's strengths lie in its use of a range of similarity metrics that are known to perform well over a wide variety of input. The agent has been tested across a range of input data and evaluated against a number of criteria. The results of this evaluation are described and the prospects for the ongoing development of the
agent are discussed.

Item Type:	Conference or Workshop Item (Paper)
Departments, Centres and Research Units:	Computing
Dates:	Date Event 1997 Accepted
Event Location:	London, United Kingdom
Item ID:	30110
Date Deposited:	04 Jun 2021 13:27
Last Modified:	10 Jun 2021 03:22
URI:	https://research.gold.ac.uk/id/eprint/30110

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