Web Page Advertising Network Identification and Privacy Filtering

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Solution Overview

Problem

Existing online advertising systems lack the ability to effectively identify and visualize advertising networks associated with advertisements displayed on web pages, making it difficult to determine market share and aggregate click data while protecting user privacy.

Innovation Solution

A computer-implemented method that receives and analyzes electronic content for a web page, identifies advertisements, determines the associated advertising network, and generates a second page with the identified network information, which can be displayed to the user and transmitted to a central reporting server, filtering user-identifying data for privacy protection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If advertising networks are identified and visualized on web pages, then information about advertising network presence and market share is improved, but user privacy through anonymization is worsened

Engineering Contradiction:

Improveadvertising network identification informationVSAvoiduser privacy exposure

Core Design Contradiction:

Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The system extracts advertising network identification information from web page content and separates it from user-identifying data. The advertising network labels are generated and displayed independently, while user privacy is protected by filtering out personally identifiable information before transmitting data to the reporting server.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system segments web page content into distinct components: advertising network identification information, user-identifying data, and general page content. This segmentation allows selective processing where advertising network information is preserved and visualized, while user privacy data is filtered and protected.

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If advertising network identification is implemented, then measurement of market share and advertisement popularity is improved, but system complexity increases

Engineering Contradiction:

Improvemarket share measurementVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary identification of advertising networks by analyzing web page content structure and extracting advertising network identifiers before data collection. This preliminary action establishes a framework that simplifies subsequent data aggregation and market share calculation, reducing overall system complexity.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary layer that mediates between web page content analysis and market share measurement. This intermediary processes and standardizes advertising network identification information, making the measurement process more manageable and reducing system complexity through modular design.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Object-affected harmful factors

If user-identifying data is filtered for privacy protection, then user privacy is improved, but data utility for advertising analysis is worsened

Engineering Contradiction:

Improveuser privacy protectionVSAvoidadvertising click data utility

Core Design Contradiction:

Object-affected harmful factorsVSLoss of information

Solution Approach 1:

The system applies partial filtering by selectively removing only user-identifying data while preserving advertising-related information. This partial action approach maintains data utility for advertising network analysis and market share measurement while adequately protecting user privacy, avoiding excessive data loss.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS8782129B1Identifying associated systems such as advertising networks

Publication Date: 2014.07.15 GOOGLE LLC

AI summary

Among other disclosure, a method includes receiving first electronic content configured for displaying a first page in a browser, the first electronic content including a document object model for the first page. Content in the document object model is identified as corresponding to at least one advertisement on the first page, the first page further including page content. Information is extracted from the identified content to be used in identifying an advertising network system that the advertisement links to. An identity of the advertising network system is determined using the extracted information. Second electronic content is generated using the first electronic content and the determined identity of the advertising network system. A second page including the page content of the first page and the advertisement is generated and displayed. On the second page the advertisement is labeled with the determined identity of the advertising network system.