US 2017/0322930 A1Published application

Document based query and information retrieval systems and methods

OwnerJacob Michael Drewinventor

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Abstract

Disclosed herein are systems and methods for document based query and information retrieval which rapidly locate similar documents within a document corpora providing a document based search result to the search initiator including one or more estimated measures of similarity for each search result item and appropriate search result document metadata. After providing document based similarity approximation search results, the system also rapidly retrieves and determines more accurate measures of similarity, including the relevant document terms and term statistics used to determine an exact measure of similarity, between the document based query document term collection and individual search result document term collections using one or more computing devices, that are application and platform independent, participating in a distributed multicore processing environment. One or more web clients transmit document based query and information retrieval requests to one or more restful services which provide the document based search results to the search initiator via stateless HTTP responses and requests. Dimensionality reduction techniques are used to limit the total number of similarity approximations and document term data similarity calculations performed during both nearest neighbor pre-processing and document based searches. The systems and methods disclosed include document based query and information retrieval embodiments providing document search results to the search initiator which include the details supporting exactly how two documents are, in fact, similar using a given particular document based query and a specific measure for document based similarity.

Claims14

Dependent claims

A method for identifying documents within a document corpus empirically determined to be similar to a document of a document-based search query and for identifying the empirically determined similarities, the method comprising:

accessing a plurality of related documents in a document corpus;
creating a document fingerprint for each stored document by:
extracting document data from each stored document's content;
making empirical measurements on the extracted document data for each stored document, the empirical measurements representing unique characteristics of each stored document's content;
receiving a document-based search query from a user for identifying one or more documents from the document corpus empirically determined to be similar to the document of the received document-based search query;
determining one or more documents from the document corpus to be empirically similar o the document of the received document-based search query based on exactly matching one or more of the empirical measurements in the document fingerprints of documents in the document corpus with corresponding one or more empirical measurements made for a document fingerprint created for the document of the document-based search query;
providing a document-based search result to the user, the search result comprising documents from e document corpus determined to be similar to the document of the document-based search query based on the exact matching one or more empirical measurements of the document fingerprints;
and
identifying to the user the exactly matched one or more empirical measurements and associated extracted data from the document fingerprint of the document of the document-based search query and the document fingerprint of each document comprising the search result determined to be similar.

6 more elements

Dependencies are inferred from the claim text.