Year: 1996
Type: conference-paper
Abstract: To provide assistance with tasks such as retrieving USENET news articles or identifying interesting Web pages, an intelligent agent requires information about a user's interests and needs. Machine learning techniques are now being used to acquire this information. A general architecture is presented, and two approaches to learning through observation are described. An instantiation of the architecture is then evaluated. Introduction The recent, rapid growth of the Internet has led to enormous amounts of on-line information. However, as the volume of this information has increased, so have the problems encountered by users in dealing with it. Software agents have been proposed as a solution to this problem. They may be characterised as systems which aid and assist a user with a common task, employing some degree of learning or adaptation to improve the quality of their assistance over time. Agents have been described as: "...computer programs which employ Artificial Intelligence techni...
Authors: Peter Edwards, David E. Bayer, Claire Louise Green, Terry R. Payne
Language: English
Topic: Web Data Mining and Analysis
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1509573560