Patent ID: 6751621
Filing Date: 2004-06-15
Classification: G06F,Y10S

Abstract:
A method of operating a computer system to organize items by constructing a trainable semantic vector representative of a data point in a semantic space, wherein the data point corresponds to at least one word, character string or document the method comprising the steps:constructing a table for storing information indicative of a relationship between items represented by predetermined data points and predetermined categories corresponding to dimensions in the semantic space; determining the significance of a selected data point with respect to each of the predetermined categories; constructing a trainable semantic vector for the selected data point based on the significance of the selected data point with respect to each, of the predetermined categories, wherein the trainable semantic vector has dimensions equal to the number of predetermined categories and represents the strength of the selected data point with respect to the predetermined categories; and wherein the step of determining comprises the steps of: determining a first index representing the proportion of each category containing the selected data point; and determining a second index representing the distribution of the selected data point's occurrences across all categories.