WebMate

1 January 1998

proceedings article
Published by Association for Computing Machinery (ACM)

p. 132-139
https://doi.org/10.1145/280765.280789

Abstract

The World-Wide Web is developing very fast. Currently, finding useful informationon the Web is a time consuming process. In this paper, we present WebMate, anagent that helps users to effectively browse and search the Web. WebMate extendsthe state of the art in Web-based information retrieval in many ways. First, it usesmultiple TF-IDF vectors to keep track of user interests in different domains. Thesedomains are automatically learned by WebMate. Second, WebMate uses the TriggerPair Model ...

Keywords

PERSONAL AGENT
USER MODELING
INSTRUCTABILITY
LONG-TERMADAPTATION AND LEARNING
KNOWLEDGE ACQUISITION AND ACCUMULATION
AREA: SOFTWARE AGENTS KEYWORDS: INFORMATION AGENTS
REUSE
SOFTWARE AGENT
INFORMATION RETRIEVAL
MOBILE AGENT
WORLD WIDE WEB
USER MODEL

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