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Text-learning and related intelligent agents: a survey

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1 Author(s)
D. Mladenic ; Jozef Stefan Inst., Ljubljana Univ., Slovenia

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

Published in:

IEEE Intelligent Systems and their Applications  (Volume:14 ,  Issue: 4 )