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Random index pattern matching based email relations finder system

A technology of electronics and electronic messages, applied in the direction of electrical components, transmission systems, instruments, etc.

Inactive Publication Date: 2018-01-02
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of email app doesn't somehow automatically find emails that are related to each other

Method used

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  • Random index pattern matching based email relations finder system
  • Random index pattern matching based email relations finder system
  • Random index pattern matching based email relations finder system

Examples

Experimental program
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Embodiment Construction

[0032] The methods and apparatus disclosed herein provide an electronic message relationship finder system for automatically identifying related messages, especially electronic messages, that are related or similar to a selected or opened electronic message. An electronic message having a similar text pattern to the opened electronic message may then be presented as a similar electronic message.

[0033] Electronic messages, such as e-mail messages (often referred to herein as "emails") typically include text or text content, and the like. Such text or text content will generally be referred to as "a word", "multiple words" or "word set" herein. The text content of the electronic message usually includes a combination of one or more common words and effective words, and the effective words are also called keywords. Common words may be those words that frequently appear in different electronic messages, but do not distinguish one electronic message from another (eg, and, the, ...

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PUM

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Abstract

An apparatus for identifying similar electronic messages includes a processor configured to detect a first electronic message, detect a set of one or more significant words in the first electronic message, compare the detected set of one or more significant words in the first electronic message to one or more sets of one or more significant words from a plurality of other electronic messages and present at least a second electronic message from the plurality of other electronic messages that includes a set of one or more significant words that is similar to the detected set of one or more significant words in the first electronic message.

Description

technical field [0001] Aspects of the disclosed embodiments relate generally to email or messaging programs, and more particularly to identifying similarities between electronic messages in electronic communication programs. Background technique [0002] A mobile communication or computing device, such as a smartphone, tablet, or phablet, may include any number of applications or programs stored thereon. These applications may include one or more electronic communication applications, such as electronic mail (email for short) applications. Traditional email applications in mobile operating systems typically implement one or more user-defined filters to categorize text into folders or automatically into predefined categories. Structuring predefined categories such that emails belonging to one of these categories can be classified using supervised learning in machine learning algorithms. [0003] Typical user interfaces for email applications are unable to find emails that m...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06Q10/107G06F16/3347G06F16/338G06F17/16H04L51/18
Inventor 卡洛林娜·索敏恩
Owner HUAWEI TECH CO LTD
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