Audience Identification System for Content Providers

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Solution Overview

Problem

Content providers face challenges in identifying new audiences interested in their content, as existing mechanisms lack the ability to estimate the increase in user actions if a new audience is added, leading to inefficient resource use and user distrust.

Innovation Solution

A computer-implemented method that provides a user interface to content providers, displaying new audiences with estimated user actions, using data from existing audiences and potential new audiences to predict increased engagement, and optimizing an estimation function based on past data to improve accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If content providers manually identify and select audiences for their content, then they can control content distribution, but the process becomes time-consuming and inefficient

Engineering Contradiction:

Improveaudience identification efficiencyVSAvoidtime for audience selection

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system automatically identifies and recommends new audiences to content providers without requiring manual selection. The audience identification system performs self-service by analyzing user data, predicting engagement metrics, and generating audience recommendations autonomously, freeing content providers from time-consuming manual audience selection while maintaining controlled content distribution

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-calculates and stores audience engagement metrics, user profiles, and prediction models in advance. By performing preliminary analysis of user behavior patterns and content performance, the system prepares audience recommendations before content providers need them, significantly reducing the time required for audience identification while maintaining efficiency

Inventive Principle:

Principle #10Preliminary action

2Quantity of substance

If content is presented to a larger group of users to increase reach, then more users may be exposed to the content, but resource waste increases due to presenting content to uninterested users

Engineering Contradiction:

Improvenumber of users exposed to contentVSAvoidresource waste from ineffective content delivery

Core Design Contradiction:

Quantity of substanceVSLoss of energy

Solution Approach 1:

The system uses feedback loops where user engagement data from content presentations is continuously collected, analyzed, and used to refine audience predictions. By monitoring actual user responses and comparing them with predicted engagement metrics, the system learns and improves its audience identification accuracy over time, ensuring content is delivered to interested users while maximizing reach and minimizing resource waste

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system dynamically adjusts content delivery parameters such as target audience selection, presentation timing, and content format based on real-time engagement metrics. By changing these parameters optimally, the system expands content reach to interested users while preventing resource waste on uninterested audiences, achieving both increased quantity of exposed users and reduced energy loss

Inventive Principle:

Principle #35Parameter changes

3Loss of information

If the system provides detailed audience analysis and predictions, then content providers can make informed decisions, but the complexity of the system increases

Engineering Contradiction:

Improveinformation completeness for audience selectionVSAvoidsystem complexity for audience analysis

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The system segments the complex audience analysis task into distinct modular components: user profile analysis, content performance tracking, engagement prediction, and recommendation generation. Each module handles a specific aspect of the analysis independently, providing comprehensive information to content providers while keeping individual components manageable and reducing overall system complexity through functional decomposition

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20240364441A1Method for identifying new audiences for content of a content provider

Publication Date: 2024.10.31 GOOGLE LLC

AI summary

A method is disclosed for providing, for display to a content provider, a user interface (UI) indicating one or more characteristics of existing audiences including a plurality of users currently designated to receive content of the content provider, the UI comprising a new audiences UI element selectable to view new audiences to be added to the existing audiences, receiving a user selection of the new audiences UI element, and in response to the user selection of the new audiences UI element, predicting, using a machine learning model, an increase in a number of user actions related to the content of the content provider in response to an addition of the new audiences to the existing audiences, and causing display of information identifying the new audiences, and an indication of the predicted increased number of user actions related to the content of the content provider in response to the addition of the new audiences to the existing audiences.