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System and Method to adjust internet search engine bias

IP.com Disclosure Number: IPCOM000238643D
Publication Date: 2014-Sep-09
Document File: 3 page(s) / 27K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method to adjust internet search engine bias is disclosed.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 53% of the total text.

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System and Method to adjust internet search engine bias

Disclosed is a method to adjust internet search engine bias.

Many people use the internet every day and sometimes all day. They frequent search various social networking sites, online stores, and the like. Over time, each of these sites develop a characterization of the user such that each user then gets results tailored to what the site thinks that the user "wants" to see. This occurs to such an extent that if two different people/machines access a search engine site for the exact same search, they could theoretically get completely different results. This is sometimes called "filter bubbles" which presents biased results to the user.

The disclosed method influences the way a user is characterized by these sites. For example, if the user spent two months doing research on the Democratic Party and accessed many web sites and did many searches related the Democratic Party, the search engine would then tend to return search results weighted in favor of the Democratic Party versus the Republican Party.

The method described below could be configured and run to counteract that bias by performing many operations related to the Republican Party in the back ground. Over time, this could be used to adjust the democrat/republican bias for a particular user either to a more even state or even drive it all the way over to a republican favored state.

Various embodiments could be implemented. In an example embodiment, there are two modes: One mode where the user is interested in overtly setting up a persona with particular characteristics. The other mode where the user is actually trying to understand a "real persona" and make sure that the search results tend towards this "real persona."

An embodiment of the disclosed method could have a "Pseudo Identity Behavior Database." The Pseudo Identity Behavior Database would have a database of characteristics, keywords and text strings, search patterns, websites etc tied to defined identities.

The following is an example schema incorporated into the Pseudo Identity Behavior Database:

Table Identity

Identity A

Identity B
Identity C ...

Table Search Engine Targets

Identity A

SE 1

SE 2

1


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...

Identity B SE 1 SE 3 ...

...

Table Search Engine Strings
Identity A SE 1 String ABC String DEF ...

Identity A SE 2 String GHI String JKL ...

Identity B S...