System and method of finding documents related to other documents and of finding related words in response to a query to refine a search

US9064005B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9064005-B2
Application numberUS-77663407-A
CountryUS
Kind codeB2
Filing dateJul 12, 2007
Priority dateMay 9, 2001
Publication dateJun 23, 2015
Grant dateJun 23, 2015

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Abstract

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A computer-implemented system and method is disclosed for retrieving documents using context-dependant probabilistic modeling of words and documents. The present invention uses multiple overlapping vectors to represent each document. Each vector is centered on each of the words in the document and includes the local environment. The vectors are used to build probability models that are used for predictions of related documents and related keywords. The results of the statistical analysis are used for retrieving an indexed document, for extracting features from a document, or for finding a word within a document. The statistical evaluation is also used to evaluate the probability of relation between the key words appearing in the document and building a vocabulary of key words that are generally found together. The results of the analysis are stored in a repository. Searches of the data repository produce a list of related documents and a list of related terms. The user may select from the list of documents and/or from the list of related terms to refine the search and retrieve those documents which meet the search goal of the user with a minimum of extraneous data.

First claim

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What is claimed is: 1. A method, comprising: receiving at least one search term from a user; automatically determining additional search terms related to the at least one search term at least in part by performing a probability calculation determining a relevance of the additional search terms to the at least one search term using a Simple Bayes probability model developed from analysis of at least one known document, wherein the analysis involves generating a plurality of overl…

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What does patent US9064005B2 cover?
A computer-implemented system and method is disclosed for retrieving documents using context-dependant probabilistic modeling of words and documents. The present invention uses multiple overlapping vectors to represent each document. Each vector is centered on each of the words in the document and includes the local environment. The vectors are used to build probability models that are used for…
Who is the assignee on this patent?
Stensmo Jan Magnus, Nuance Communications Inc
What technology area does this patent fall under?
Primary CPC classification G06F16/3325. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jun 23 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).