Title :
The InfoFinder agent: learning user interests through heuristic phrase extraction
Author :
Krulwich, Bruce ; Burkey, Chad
Author_Institution :
AgentSoft Ltd., Jerusalem, Israel
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
Keywords :
heuristic programming; information needs; information retrieval; learning (artificial intelligence); software agents; InfoFinder; heuristic phrase extraction; information retrieval; innovative approaches; learning; messages; online documents; software agent; user interests; user-classified documents; Data mining; Explosives; Internet; Java; Machine learning; Maintenance; Search engines; Search methods; Technological innovation; Web sites;
Journal_Title :
IEEE Expert
