A wide area network information filter

Author

Wyle, M.F.

Author_Institution

Swiss Federal Inst. of Technol., Zurich, Switzerland

fYear

1991

fDate

9-11 Oct 1991

Firstpage

10

Lastpage

15

Abstract

A discussion is given on an intelligent wide area network-based clipping service used as a test-bed for the development and effectiveness measurement of high-performance retrieval algorithms. The system taps news wire and other information sources aperiodically, several times daily. It maintains a local 100 Mbyte news database that changes at a rate of 10 Mbytes per day. The system stores and manages user interest profiles, each of which includes several query texts. News items are selected for presentation by a completely automatic four-stage information filtering process; expert system rules and database knowledge criteria are used in the first three stages; vector-space ranking is used in the final stage. News items are actively and selectively disseminated to users via electronic mail

Keywords

database management systems; electronic mail; expert systems; information retrieval; wide area networks; 100 Mbyte; automatic four-stage information filtering process; database knowledge criteria; effectiveness measurement; electronic mail; expert system rules; high-performance retrieval algorithms; information sources; intelligent wide area network-based clipping service; news database; news wire; query texts; test-bed; user interest profiles; vector-space ranking; wide area network information filter; Area measurement; Databases; Electronic mail; Expert systems; Information filtering; Information filters; Intelligent networks; Testing; Wide area networks; Wire;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence Applications on Wall Street, 1991. Proceedings., First International Conference on

Conference_Location

New York, NY

Print_ISBN

0-8186-2240-7

Type

conf

DOI

10.1109/AIAWS.1991.236580

Filename

236580