Preserving User Preferences in Automated Document-Category Management: An Evolution-Based Approach
Authors: Wei, Chih-Ping; Hu, Paul Jen-Hwa; Lee, Yen-Hsien
Journal: Journal of Management Information Systems (2009)
DOI: 10.2753/mis0742-1222250404
Analysis of prevalent document management practices shows the popular use of categories (e.g., folders) to organize documents for subsequent searches and retrievals. The coherence and distinction of an existing document category can diminish considerably as influxes of new documents arrive over time. The complexity of and effort requirements for document-category management favor an automated approach that can be supported by appropriate document-clustering techniques. A review of the extant literature shows a predominant focus on document content analysis in automated document-category management, which cannot preserve the user's document-grouping preferences. This research develops two advanced evolution-based techniques for preserving user preferences in their management of document categories. The first technique (CE2), which supports the automated evolution of a set of flat (i.e., nonhierarchical) document categories, extends a promising evolution-based technique (category evolution, CE) by addressing its fundamental limitations inherent to the use of holistic measures. The second technique, category hierarchy evolution (CHE), is developed on the basis of CE2 to support scena…