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Personalized content delivery using neuro-response priming data

a technology of personalized content and priming data, applied in the field of personalized content delivery using neuroresponse measurement, can solve the problems of limited or non-existent conventional systems for delivering personalized content, cultural, interpretive errors, semantic, syntactic, metaphorical,

Inactive Publication Date: 2009-03-26
THE NIELSEN CO (US) LLC
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Conventional systems for delivering personalized content are limited or non-existent.
However, conventional systems are subject to semantic, syntactic, metaphorical, cultural, and interpretive errors.

Method used

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  • Personalized content delivery using neuro-response priming data
  • Personalized content delivery using neuro-response priming data
  • Personalized content delivery using neuro-response priming data

Examples

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example embodiments

[0019]Conventional mechanisms for selecting personalizing content rely on demographic information, statistical information, and survey based response collection. One problem with conventional mechanisms for selecting advertising is that they do not measure the inherent message resonance and priming for various products, services, and offerings that are attributable to the stimulus. They are also prone to semantic, syntactic, metaphorical, cultural, and interpretive errors thereby preventing the accurate and repeatable targeting of the audience.

[0020]Conventional systems do not use neuro-behavioral and neuro-physiological response blended manifestations in assessing the user response and do not elicit an individual customized neuro-physiological and / or neuro-behavioral response to the stimulus. Conventional systems also fail to blend multiple datasets, and blended manifestations of multi-modal responses, across multiple datasets, individuals and modalities, to reveal and validate the...

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Abstract

A system evaluates source materials such as videos, imagery, web pages, text, etc., in order to determine priming characteristics associated with the source materials. The system also obtains user preferences such as user interests, purchase history, location information, etc. The priming characteristics and user characteristics are blended to obtain blended attributes. The blended attributes are correlated with stimulus material attributes to intelligently and dynamically select stimulus material such as marketing, entertainment, informational materials, etc., for introduction into the source material. The stimulus material may be inserted in real-time or near real-time into the source material for delivery to a user.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to Provisional Patent Application 60 / 973,856, (Docket No. 2007NF17) titled Personalized Content Delivery Blending Neurological Assessed Priming And User Preferences, by Anantha Pradeep, Robert T. Knight, and Ramachandran Gurumoorthy, and filed on Sep. 20, 2007, the entirety of which is incorporated by reference for all purposes.TECHNICAL FIELD[0002]The present disclosure relates to personalized content delivery using neuro-response measurements.DESCRIPTION OF RELATED ART[0003]Conventional systems for delivering personalized content are limited or non-existent. Some conventional systems provide selected content in a rudimentary manner by using demographic information and statistical data. However, conventional systems are subject to semantic, syntactic, metaphorical, cultural, and interpretive errors.[0004]Consequently, it is desirable to provide improved methods and apparatus for personalizing content deli...

Claims

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Application Information

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IPC IPC(8): G06Q30/00A61B5/00
CPCA61B5/16G06Q30/0201G06Q30/02A61B5/163
Inventor PRADEEP, ANANTHAKNIGHT, ROBERT T.GURUMOORTHY, RAMACHANDRAN
Owner THE NIELSEN CO (US) LLC
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