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CAR-TR-830 CLIS-TR-96-02 CS-TR-3643 EE-TR-96-25
May, 1996
A Conceptual Framework for Text Filtering

Douglas W. Oard
Medical Informatics and Computational Intelligence Laboratory
Electrical Engineering Department


Gary Marchionini
Human-Computer Interaction Laboratory
Center for Automation Research and
Digital Library Research Group
College of Library and Information Services

University of Maryland, College Park, MD 20742


This report develops a conceptual framework for text filtering practice and research, and reviews present practice in the field. Text filtering is an information seeking process in which documents are selected from a dynamic text stream to satisfy a relatively stable and specific information need. A model of the information seeking process is introduced and specialized to define information filtering. The historical development of text filtering is then reviewed and case studies of recent work are used to highlight important design characteristics of modern text filtering systems. Specific techniques drawn from information retrieval, user modeling, machine learning and other related fields are described, and the report concludes with observations on the present state of the art and implications for future research on text filtering.

Douglas W. Oard
Sun Apr 27 13:18:52 EDT 1997

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