User-Targeted Advertising System Using Structured Data Sets

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Solution Overview

Problem

Advertisers face challenges in effectively targeting specific audiences on online social networks due to diverse user interests, leading to wastage of ad budgets as many advertisements do not resonate with users, making it difficult to identify and eliminate such waste.

Innovation Solution

A system that establishes structured data sets for users based on attributes like age, gender, interests, and zip code, allowing content providers to compare conditions and display content only to those who satisfy them, enabling real-time refinement of targeting strategies to reach a specific audience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If advertisements are displayed to all users on online social networks, then ad coverage is maximized, but ad budget wastage increases due to diverse user interests

Engineering Contradiction:

Improvead coverageVSAvoidad budget wastage

Core Design Contradiction:

Quantity of substanceVSLoss of energy

Solution Approach 1:

The patent segments the user base into distinct groups based on structured data sets containing user attributes (demographics, interests, behaviors). Advertisements are then targeted to specific segments that match the ad's criteria, rather than displaying to all users. This segmentation enables precise targeting that maintains ad coverage for relevant users while eliminating wastage on irrelevant users.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by tailoring advertisement delivery to specific user groups with matching characteristics. Each user receives ads based on their individual profile attributes, creating a localized matching between ad content and user interests. This ensures that ad budget is spent only on users who are likely to engage, rather than uniformly distributing ads across all users.

Inventive Principle:

Principle #3Local quality

2Ease of operation

If traditional demographic studies are used for ad targeting, then ad placement is simplified, but targeting precision deteriorates due to reasonable assumptions about typical audience

Engineering Contradiction:

Improvead placement simplicityVSAvoidtargeting accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent implements feedback mechanisms where user responses to advertisements (clicks, conversions, engagement) are tracked and fed back into the system. This feedback refines the structured data sets and improves the matching algorithms over time. The system learns from actual user behavior rather than relying solely on demographic assumptions, continuously improving targeting precision while maintaining operational simplicity through automated processes.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent performs preliminary actions by pre-establishing structured data sets for users containing comprehensive attributes before ad campaigns begin. User profiles are built in advance with demographic, interest, and behavioral data, allowing rapid and precise matching when ads are deployed. This preliminary structuring of data enables both ease of operation during ad placement and high targeting precision without requiring complex real-time analysis.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If advertisements are targeted to specific user conditions, then ad effectiveness improves, but system complexity increases due to establishing and comparing structured data sets

Engineering Contradiction:

Improvead effectivenessVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent creates a universal system where a single structured data framework serves multiple functions: user profiling, ad matching, segmentation, and performance tracking. The same structured data sets that enable precise targeting also support campaign management, analytics, and optimization. This multi-functionality reduces overall system complexity compared to having separate systems for each function, while maintaining high ad effectiveness through consistent, comprehensive user data.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Measurement precision

If real-time condition refinement is performed to identify target audience, then targeting precision improves, but processing time increases due to iterative comparison process

Engineering Contradiction:

Improvetargeting precisionVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by pre-structuring user data into standardized data sets with defined attributes and values before ad campaigns begin. This preliminary organization allows for rapid comparison and matching during real-time ad delivery. The structured format enables efficient querying and filtering, reducing the processing time required for real-time condition refinement while maintaining high targeting precision through systematic attribute matching.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10198744B2User-targeted advertising

Publication Date: 2019.02.05 GOOGLE LLC

AI summary

Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.