A Conceptual Framework for Text Filtering Process
A Conceptual Framework for Text Filtering Process
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Date
1998-10-15
Authors
Oard, Douglas W.
Marchionini, Gary
Advisor
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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.
(Also cross-referenced as CAR-TR-830)
(Also cross-referenced as EE TR-96-25)
(Also cross-referenced as CLIS TR-96-02)