US2008235218A1PendingUtilityA1

Wide-spectrum information search engine

Assignee: JEFFREY JOELPriority: May 5, 1999Filed: Apr 25, 2008Published: Sep 25, 2008
Est. expiryMay 5, 2019(expired)· nominal 20-yr term from priority
Inventors:Joel Jeffrey
G06F 16/3347G06F 16/337Y10S707/99935Y10S707/99943
47
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Claims

Abstract

A method and computer program product for comparing documents includes segmenting a judgment matrix into a plurality of information sub-matrices where each submatrix has a plurality of classifications and a plurality of terms relevant to each classification; evaluating a relevance of each term of the plurality of terms with respect to each classification of each information submatrix of the information submatrices; calculating an information spectrum for a first document based upon at least some of the plurality of terms; calculating an information spectrum for a second document based upon at least some of the plurality of terms; and identifying the second document as relevant to the first document based upon a comparison of the calculated information spectrums.

Claims

exact text as granted — not AI-modified
1 . A method for processing information, comprising:
 receiving a segmented judgment matrix, the segmented judgment matrix being a numerical matrix pairing each of a set of terms to each of a set of classifications, each term being a word or phrase, the segmented judgment matrix having a plurality of information submatrices, each element of each information submatrix representing a rating of a relevance of the term of the element to the classification of the element, each information submatrix being a numerical matrix representing the relevance of each of a subset of the set of terms to each of a subset of the set classifications; and   using the segmented judgment matrix to calculate an information spectrum.   
   
   
       2 . The method of  claim 1 , wherein at least some of the elements of the information submatrices represent ratings of relevance made by a human being. 
   
   
       3 . The method of  claim 1  wherein the segmented judgment matrix has rows and columns and each column of the segmented judgment matrix represents a classification and each row of the segmented judgment matrix represents a term. 
   
   
       4 . A computer program product comprising instructions operable to cause data processing apparatus to:
 receive a segmented judgment matrix, the segmented judgment matrix being a numerical matrix pairing each of a set of terms to each of a set of classifications, each term being a word or phrase, the segmented judgment matrix having a plurality of information submatrices, each element of each information submatrix representing a rating of a relevance of the term of the element to the classification of the element, each information submatrix being a numerical matrix representing the relevance of each of a subset of the set of terms to each of a subset of the set classifications; and   use the segmented judgment matrix to calculate an information spectrum.   
   
   
       5 . The product of  claim 4  wherein at least some of the elements of the information submatrices represent ratings of relevance made by a human being. 
   
   
       6 . The product of  claim 4  wherein the segmented judgment matrix has rows and columns and each column of the segmented judgment matrix represents a classification and each row of the segmented judgment matrix represents a term. 
   
   
       7 . A computer program product for processing text information, the product comprising instructions operable to cause data processing apparatus to perform the operations of:
 receiving a judgment matrix that is segmented into a plurality of information submatrices where each submatrix has a plurality of classifications and a plurality of terms relevant to each classification;   evaluating a relevance of each term of the plurality of terms with respect to each classification of each information submatrix of the information submatrices;   calculating an information spectrum for each of a plurality of documents based upon at least some of the plurality of terms; receiving a search request;   calculating an information spectrum of the search request based upon at least some of the plurality of terms; and   identifying at least some documents of the plurality of documents as relevant to the request based upon a comparison of the calculated information spectrums.

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