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Method and system to dynamically adjust spell checking result with social content

IP.com Disclosure Number: IPCOM000198308D
Publication Date: 2010-Aug-04

Publishing Venue

The IP.com Prior Art Database

Abstract

This article describes a new system and method giving spell check results, utilizing the user's social content. In the times of Web 2.0, social contents grow with a high speed. Whereas web rich text editing is a very common scenario in today's Web 2.0 applications. Spell check is a necessary function in web editing components. Utilizing rich social content that is highly related to the web editing's user, we are sure to give a more precise spell check suggestion result. We achieve this by improving present spell check algorithms, to take the social content into consideration.

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Method and system to dynamically adjust spell checking result with social content

1 The background
1.1 Field of the Invention

This invention relates to a new method and system to improve the result of Spell checking by leveraging social content

1.2 What's the problem

1.2.1 Background : The changes of the Web 2.0

It's the times of Web 2.0 , many things change and change in recent years :

Volume of Web Contents went on -line, and the social contents grow with a very very high speed . Billions of blog, wiki, discussion, etc were posted by billions of people in internet .

More and more application become Web Application , Web Editing become popular and popular . With the growth of social content and cloud computing, we spend more and more time on web : Facebook, Lotus Live, Google Doc, Wiki Media, iNotes,etc。 More and more people become the user of Web Editor, the web editing was part of our daily life .

Spell checking was one of the most popular function provided by native editor . In Web Editing, this function also was available , it

maybe a browser plug-in , or a on-line Spell checking service (such as spellchecker.net) , etc. So, the people can correct the spell mistake like what they had done in native editor .

1.2.2 The challenge of Spell checking in social content

The people can correct the spell mistake like what they had done in native editor in Web . It was sowonderful, but looks like still not enough , let see an example:

Sakuia work in Lexington , MA, she created a Lotus Connection Wiki in IBM intranet , she was composinga wiki page to introduce how to reach her lab:

1

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In this case, she types "Boston" as "Poston", but the spell checker did not

did not provide the right suggestion .

what she want to type is "Boston"

For the same content, for the employees work in Barcelona Football Club , most of them would not know

not know the right suggestion.

Why spell checker did not

did not provide the right suggestion ?

Why Barcelona FC's employees did not

did not

know

know the right suggestion ?

the right suggestion?

Because "Boston" was very popular in Lotus employees ' social content in IBM. (Boston is the capital of MA , is the gateway to many Lotus offices, you also could think BOSTON was the head office of Lotus , it's very popular to mention to BOSTON in their wiki , blog, discussion, etc)

So, Lotus employees know the right suggestion , because they live in same social content with Sakuia

they live in same social content with Sakuia .

For the Barcelona FC's employees, they never talk about Boston in their daily work .

For spell checker, the distance

distance between "Poston" and "Boston" was not short enough in its algorithm , so the "Boston" was not in the list

not in the list

know

Everyone in her office, even most Lotus employees know

Why Lotus employees know

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of suggestion

So, spell checker only know what the suggestion "

""could be

coul...