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Abstract

A method of content driven browsing in a database including a large number of documents, that can be broken up into elements, each element being described by a state or a value of a same technical characteristic, including the steps of: a) analyzing the general distribution of the values taken by said technical characteristic over all elements of all documents of the database, to form a sufficiently representative family, which is however of reduced size, of prototype values for said technical characteristic; b) forming based on each document of the database a vector, each coordinate of which corresponds to a prototype value of said characteristic, the value of each coordinate of the vector corresponding to the frequency of occurrence of said prototype value in the document; c) determining the distances between the vectors of the various documents of the database; and d) associating with each document a list of the closest documents for said characteristic.

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First Claim