Abstract
The paper discusses InfoFinder, a system that uses several innovative approaches for learning user information interests from sets of messages or other online documents that users have classified. InfoFinder's innovations leverage the unique aspects of learning from user-classified documents in a real-world setting. Users find Infofinder to be an accurate and valuable tool for finding information relating to ongoing interests.
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