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Matching engine with signature generation and relevance detection

A correlation and document technology, applied in the field of search engines and enterprise search engines, can solve the problems of high efficiency, low and inaccurate model measurement document relevance, etc.

Active Publication Date: 2010-09-01
TREND MICRO INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This results in heavy use of resources and is generally not very efficient
[0008] Yet another problem with conventional search engines is that they measure document relevance by often inaccurate or highly computationally intensive models

Method used

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  • Matching engine with signature generation and relevance detection
  • Matching engine with signature generation and relevance detection
  • Matching engine with signature generation and relevance detection

Examples

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Embodiment Construction

[0029] Reference will now be made in detail to various embodiments, examples of which are illustrated in the accompanying drawings. It should be noted that wherever practicable, the same or similar reference numbers may be used in the various figures and may indicate the same or similar functionality. The drawings depict various embodiments of the invention for purposes of illustration only. From the following discussion, it will be readily apparent to those skilled in the art that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles described herein.

[0030]In general, the disclosed embodiments set forth a system and method for generating at least one signature associated with a document. The signature is used to obtain, for example, associated results of a search query in an enterprise computing system. In one embodiment, a document containing text is received and parsed to generate a token set. Th...

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Abstract

A system and a method generates at least one signature associated with document. In one embodiment, a document comprised of text is received and parsed to generate a token set. The token set includes a plurality of tokens. Each token corresponds to the text in the document that is separated by a predefined character characteristic. A score is calculated for each token in the token set based on a frequency and distribution of the text in the document. Each token is then ranked based on the calculated score. A subset of the ranked tokes is selected and a signature is generated for each occurrence of the selected tokens. The selected list of signatures is then output.

Description

[0001] Related Application Cross Reference [0002] This application claims the title of U.S. Provisional Patent Application No. 60 / 679,314, filed on May 9, 2005, entitled "Matching Engine for Querying Relevant Documents with Signature Generation and Relevance Detection of TextDocuments", and the title of the application on February 24, 2006 U.S. Utility Patent Application No. 11 / 361,340 entitled "Matching Engine With Signature Generation" and U.S. Utility Patent Application No. 11 / 361,447 entitled "Matching Engine For Querying Relevant Documents" filed on February 24, 2006 rights and interests of the patent, which is incorporated herein by reference in its entirety. technical field [0003] The present invention relates generally to the field of search engine technology, and more specifically, to the field of enterprise search engines used to query associated documents from document repositories. Background technique [0004] In general, an enterprise search engine is a s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06F17/00
CPCG06F17/30616G06F16/313
Inventor 任利伟谭德华黄飞黄舒董爱国
Owner TREND MICRO INC