Neurome Emulating User Brain for Ad Targeting
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Solution Overview
Problem
Current behavior targeting systems for online advertising are limited in accurately predicting user behavior and reactions to advertisements, as they rely on incomplete data and misinterpret user interactions, failing to capture subconscious reactions and providing limited real-time insights.
Innovation Solution
A system that trains a neurome to emulate a user's brain by detecting neural activity in response to various stimuli, allowing for the determination and prediction of brain states, including both physiological and mental states, to provide more accurate and real-time insights into user behavior and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If online activity monitoring is used to determine user interests, then behavioral patterns can be identified, but the system misinterprets user interactions and fails to capture subconscious reactions
Solution Approach 1:
The patent introduces a neurome as an intermediary computational model that simulates brain processing. The neurome receives online activity data and transforms it into predicted user interests and reactions, acting as a mediator between raw data and interpretation. This allows the system to infer subconscious reactions that are not directly observable in online behavior.
Solution Approach 2:
The patent creates a computational copy of the user's brain processing through the neurome. By training the neurome on user data, the system generates a virtual model that replicates how the user processes information and forms interests. This copy enables prediction of user reactions without directly observing all underlying cognitive processes.
2Quantity of substance
If behavior targeting systems monitor online activity from groups of users, then virtual infinite information is available, but the system cannot specifically target individual users
Solution Approach 1:
The patent segments the collective user data into individual user profiles through separate neurome training for each user. Instead of treating all users as a homogeneous group, the system divides the data processing into user-specific computational models. Each neurome is trained on individual user online activity, enabling specific targeting while leveraging patterns from collective data.
Solution Approach 2:
The patent performs preliminary training of user-specific neuromes before actual advertising targeting. By pre-processing and training individual user models in advance using their online activity history, the system prepares personalized prediction capabilities before deployment. This preliminary action enables specific user targeting when advertisements are later presented.
3Productivity
If traditional behavior targeting systems are used, then recommendations can be provided based on online activity, but real-time insights into user reactions to advertisements are limited
Solution Approach 1:
The patent replaces traditional mechanical data processing systems with a neuromorphic computational system. The neurome uses neural network architectures that process information in parallel and adaptively, mimicking biological brain processing. This substitution enables faster, real-time prediction of user reactions to advertisements while maintaining high precision in behavioral analysis.
Data Source
AI summary
A system for training a neurome that emulates a brain of a user comprises a non-invasive brain interface assembly configured for detecting neural activity of the user in response to analog instances of a plurality of stimuli peripherally input into the brain of the user from at least one source of content, memory configured for storing a neurome configured for outputting a plurality of determined brain states of an avatar in response to inputs of the digital instances of the plurality of stimuli, and a neurome training processor configured for determining a plurality of brain states of the user based on the detected neural activity of the user, and modifying the neurome based on the plurality of determined brain states of the user and the plurality of determined brain states of the avatar.