Text-learning and related intelligent agents: a survey
IEEE Intelligent Systems and their ApplicationsPublished 1 July 1999
Dunja Mladenić
Citations280
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TL;DR
Personal WebWatcher is described, a content-based intelligent agent that uses text-learning for user-customized Web browsing that focuses on three key criteria: what representation the particular application uses for documents, how it selects features, and what learning algorithm it uses.
Abstract
In surveying current research in the development of text-learning intelligent agents, the author focuses on three key criteria: what representation the particular application uses for documents, how it selects features, and what learning algorithm it uses. She then describes Personal WebWatcher, a content-based intelligent agent that uses text-learning for user-customized Web browsing.
Keywords
Computer Science
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