Multi-Platform Ad Integration With Cookie-Free Webpage Classification

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing systems face challenges in efficiently classifying and categorizing webpages across multiple platforms without using cookies, and in effectively managing digital advertising campaigns across various media buying platforms, leading to inefficiencies and increased human error.

Innovation Solution

A multi-platform integration system with an adaptive automatic bidding system that uses in-browser machine learning to classify webpages and automate the advertising trafficking process, integrating digital advertisements directly with various platforms based on user-defined settings and parameters, thereby reducing human error and enhancing operational efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual webpage classification and advertising campaign management are used across multiple platforms, then flexibility and customization are maintained, but time consumption and human errors increase

Engineering Contradiction:

Improvereduction of human errorsVSAvoidtime for trafficking advertising campaigns

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables self-service automation where the classification model and bidding system automatically perform webpage classification and advertising campaign management without requiring manual human intervention for each task, thereby reducing human errors and time consumption

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processes (human classification and campaign management) with automated computational systems including machine learning models and bidding algorithms, eliminating human errors and significantly reducing the time required for these repetitive tasks

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If cookies are used for webpage classification and viewer information tracking, then classification accuracy and targeting precision are improved, but privacy concerns and regulatory compliance issues arise

Engineering Contradiction:

Improvewebpage classification accuracyVSAvoidprivacy concerns

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The system extracts the essential function of tracking and classification away from cookies entirely, using alternative methods that analyze webpage content directly without relying on cookie-based user tracking, thereby maintaining classification accuracy while eliminating privacy concerns

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces an intermediary classification model that operates at the webpage level rather than the user level, serving as a mediator between advertising needs and privacy protection by classifying content without requiring personal user data or cookies

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If separate management systems are used for each media buying platform, then platform-specific optimization is achieved, but system complexity and operational overhead increase

Engineering Contradiction:

Improveoperational efficiencyVSAvoidnumber of management systems

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent merges multiple separate platform management systems into a single unified system that can manage advertising campaigns across multiple media buying platforms simultaneously, reducing operational overhead and simplifying the user interface while maintaining platform-specific optimization capabilities

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system achieves multi-functionality by designing a universal management interface that can operate across different media buying platforms, allowing a single system to perform the functions of multiple specialized systems and thereby improving productivity without increasing complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12579557B2Multi-platform integration for classification of web content

Publication Date: 2026.03.17 ZETA GLOBAL CORP

AI summary

In some examples, a system comprises at least one programmable processor; and a machine-readable medium having instructions stored thereon which, when executed by the at least one programmable processor, cause the at least one programmable processor to execute operations comprising: receiving a first request from at least one user device to execute an instance of an application; transmitting a graphical user interface (GUI) to the at least one user device to be rendered on a display of the at least one user device; receiving a second request, via the GUI, from the at least one user device, to deploy a digital advertisement, the second request including a set of platforms of a plurality of platforms of a multi-platform integration system, a set of settings, a set of parameters, and a set of allocation data; interfacing with each one of the platforms in the set of platforms; and integrating a digital advertisement directly with each one of the platforms in the set of platforms based on the set of settings, the set of parameters and the set of allocation data.