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Shoechicken: An Intelligent System for Recommending RSS/Atom Content
Conference proceeding

Shoechicken: An Intelligent System for Recommending RSS/Atom Content

J. Horsley, M. Wooten and E. El-Sheikh
Proceedings of the 21st International Conference on Computers And Their Applications (CATA), pp.206-210
ISCA 21st Int'l. Conference Computers and Their Applications (CATA-2006) (Seattle, Washington, USA, 03/23/2006–03/25/2006)
2006

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Abstract

We present Shoechicken, an intelligent agent-based system for rating RSS and Atom news content based on user preferences. The system builds a user profile implicitly by observing a users interactions with news content. Shoechicken rates incoming content based on the user's preferences, and adapts to both long term and short term changes in these preferences. The system is interoperable such that it can supply rated content for use by any news aggregator. This paper describes the Shoechicken system, its architecture, and its implementation.
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