System and method for categorizing objects in combined categorie

Data processing: database and file management or data structures – Database design – Data structure types

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707 6, G06F 1730

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active

059436700

ABSTRACT:
The present invention is a system and method for determining whether the best category for an object under investigation is a mixture of preexisting categories, and how the mixture is constituted. This invention is useful both for suggesting the need for new categories, and for a fixed set of categories, determining whether a document should be assigned to multiple categories. The objects of the categorization system are typically, but need not be, documents. Categorization may be by subject-matter, language or other criteria. The invention causes extra information to be stored in a category index, so that the determination of mixed categories using the methods presented here is performed extremely efficiently.

REFERENCES:
patent: 5537586 (1996-07-01), Amram et al.
Gerard Salton, "Automatic Text Processing: The Transformation, Analysis and Retrieval of Information by Computer", Addison-Wesley, Reading, PA, 1989, pp. 275-281 & 313-326.
C. Ling & W. Wang "Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms", Artificial Intelligence Review, vol. 11, pp. 255-256, 1997.
Yahoo (http://www.yahoo.com) screen shot of home page showing top-level categories, 1 page, Date unknown.
"A Self-organizing Network for Mixed Category perception," J. Basak et al., Neurocomputing, vol. 10, issue 4, pp. 341-358, Apr. 1996.

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