Experimental investigation of high performance cognitive and interactive text filtering

TitleExperimental investigation of high performance cognitive and interactive text filtering
Publication TypeConference Papers
Year of Publication1995
AuthorsOard D, DeClaris N, Dorr BJ, Faloutsos C, Marchionini G
Conference Name, IEEE International Conference on Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century
Date Published1995/10/22/25
ISBN Number0-7803-2559-1
KeywordsCause effect analysis, Computer science, Contracts, Cornell SMART text retrieval system, Educational institutions, Gaussian User Model, high performance cognitive interactive text filtering, History, Information filtering, Information filters, Information retrieval, information retrieval system evaluation, Libraries, Matched filters, online front-ends, Query processing, System testing, text selection effectiveness, user evaluations, User interfaces, user modelling

Text filtering has become increasingly important as the volume of networked information has exploded in recent years. This paper reviews recent progress in that field and reports on the development of a testbed for experimental investigation of cognitive and interactive text selection based on a history of user evaluations. An interactive filtering system model is presented and a new cognitive filtering technique which the authors call the Gaussian User Model is described. Because development of analytic measures of text selection effectiveness has proven intractable, the authors have modified the Cornell SMART text retrieval system to create a flexible text filtering testbed for experimental determination of filtering effectiveness. The paper concludes with a description of the design of this testbed system