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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
and
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
{oard|march}@glue.umd.edu
Abstract:
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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