IoT-Driven Ad Object Matching for Real-Need Media Targeting

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Solution Overview

Problem

Existing advertisement systems rely heavily on data processing large amounts of user Internet activities to customize advertisements, which is burdensome and inaccurate in predicting user purchasing behavior, especially for product placement advertisements.

Innovation Solution

A media guidance application identifies user needs directly from IoT devices in the living environment by correlating advertised objects with demanded objects through metadata analysis and wireless communication, reducing the need for extensive data processing and improving advertisement conversion rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the advertisement system collects and processes large amounts of user Internet activity data to customize advertisements, then the advertisement customization capability is improved, but the data processing burden and system complexity increase significantly

Engineering Contradiction:

Improveadvertisement customization capabilityVSAvoiddata processing burden

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent extracts only the necessary information (user needs from IoT devices and advertised objects from media assets) rather than processing all user Internet activity data. This selective extraction approach maintains advertisement customization capability while significantly reducing data processing burden and system complexity.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

Instead of starting with user data and generating advertisements, the patent inverts the approach by starting with advertised objects from media assets and matching them with user needs from IoT devices. This reversal eliminates the need for extensive user data collection and processing while achieving targeted advertisement delivery.

Inventive Principle:

Principle #13The other way round (Inversion)

2Adaptability or versatility

If the advertisement system relies on mining user interests from random Internet activities, then advertisement personalization is achieved, but the accuracy in predicting user purchasing inclination is limited

Engineering Contradiction:

Improveadvertisement personalizationVSAvoidpurchasing inclination prediction accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent uses transient IoT device status messages (e.g., low ink level alerts, appliance status updates) as indicators of user needs instead of relying on persistent user profile data. These short-living status messages provide accurate, real-time information about actual user purchasing inclinations without requiring extensive data mining.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Solution Approach 2:

The system uses feedback from IoT devices about actual device status and user needs (e.g., cartridge replacement needs, appliance maintenance requirements) to accurately predict purchasing inclination. This feedback mechanism provides much higher precision than random Internet activity analysis.

Inventive Principle:

Principle #23Feedback

3Stability of the object's composition

If product placement advertisements are embedded in media program scenes, then the advertisement integration is improved, but the ability to customize advertisements for individual users is lost

Engineering Contradiction:

Improveadvertisement integrationVSAvoidadvertisement customization

Core Design Contradiction:

Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The patent performs preliminary identification of advertised objects in media assets and pre-matching with user needs from IoT devices before advertisement delivery. This allows product placement advertisements to be delivered to specific users based on their actual needs while maintaining integration with the media program scenes.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent segments the advertisement delivery process by identifying specific advertised objects within media assets and matching them with specific user needs from IoT devices. This segmentation enables customization of product placement advertisements for individual users while preserving the overall advertisement integration in media programs.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250350806A1Systems and methods for identifying and correlating an advertised object from a media asset with a demanded object from a group of interconnected computing devices embedded in a living environment of a user

Publication Date: 2025.11.13 ADEIA GUIDES INC

AI summary

Systems and methods for identifying and correlating an advertised object with a plurality of interconnected computing devices embedded in a living environment of the user. For example, a media guidance application implemented at a set-top box with a television may receive a signal from a printer indicating that cartridge ink is low. When the user is watching a television show and an advertisement relating to printer cartridges is being played, the media guidance application may identify that the advertised printer cartridges may be something that the user needs, and may then send a notification to a user of the advertisement. In this way, the media guidance application correlates advertisements from a media asset with a user's actual needs, which may improve the advertisement conversion rate for advertisers.