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dc.contributor.authorOard, Douglas W.en_US
dc.contributor.authorMarchionini, Garyen_US
dc.date.accessioned2004-05-31T21:05:28Z
dc.date.available2004-05-31T21:05:28Z
dc.date.created1996-05en_US
dc.date.issued1998-10-15en_US
dc.identifier.urihttp://hdl.handle.net/1903/462
dc.description.abstractThis 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)en_US
dc.format.extent324356 bytes
dc.format.mimetypeapplication/postscript
dc.language.isoen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3643en_US
dc.relation.ispartofseriesCAR-TR-830en_US
dc.titleA Conceptual Framework for Text Filtering Processen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtComputer Science Department Technical Reportsen_US


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