Retriever: an agent for intelligent information recovery
ICIS '99 Proceedings of the 20th international conference on Information Systems
An information push-delivery system design for personal information service on the internet
Information Processing and Management: an International Journal
Hi-index | 0.00 |
With the exponential growth of Internet and the volume of information published over it, searching for information of interest has become a very difficult and time-consuming task. In this paper we present 'Retriever', an autonomous agent that executes user-queries and returns high quality results to the user. Retriever utilizes existing search engines to obtain the starting points for its subsequent autonomous exploration of the Web. Then it conducts a self-training process, in order to learn the query domain and increase its efficiency. When the query domain is learned, the agent expands the original query, reforms its search strategy and goes out looking for the documents to be presented to the user. It also incorporates relevance feedback in order to perform subsequent searches on the same query.