Audience-Based Content Rewriting Using User Embeddings

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Solution Overview

Problem

Existing systems struggle to provide user-specific content that aligns with individual user interests and knowledge levels, leading to inefficient information retrieval and potential misdirection in search results.

Innovation Solution

A computing system that utilizes generative models and user-specific embeddings to generate alternative content items tailored to individual user profiles, adjusting content based on linguistic characteristics and knowledge levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If generic search results are provided to all users, then the system is simple to operate and maintains consistency, but the content does not align with individual user interests and knowledge levels

Engineering Contradiction:

Improvecontent customizationVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The search results are dynamically modified based on user profile data including linguistic characteristics and knowledge level. The system adjusts content items in real-time based on individual user characteristics, transforming static generic results into dynamic personalized results that adapt to each user's needs and expertise level.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

Different content items within the search results are selectively modified based on their relevance to the user's profile. The system applies local customization by modifying specific content items according to the user's linguistic characteristics and knowledge level, rather than uniformly transforming all content, thereby achieving personalized results while maintaining system manageability.

Inventive Principle:

Principle #3Local quality

2Loss of information

If users manually search for additional information, then they can find detailed information, but the process is time-consuming and may not yield desired information

Engineering Contradiction:

Improveinformation completenessVSAvoidtime for web resource review

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary action by pre-modifying search results based on user profile data before the user needs to review them. By anticipating user needs and pre-adjusting content items according to linguistic characteristics and knowledge level, the system eliminates the need for users to manually search for additional information, thereby reducing time loss while maintaining information completeness.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If users manually determine which words to use for search, then they can control search precision, but the process is difficult and words may not be directed to point-of-interest for other users

Engineering Contradiction:

Improvesearch query precisionVSAvoidease of word selection

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system performs self-service by automatically determining the appropriate words and modifying content items based on user profile data. Instead of requiring users to manually select search terms, the system autonomously identifies relevant keywords and adjusts content according to the user's linguistic characteristics and knowledge level, thereby maintaining search precision while significantly improving ease of operation.

Inventive Principle:

Principle #25Self-service

4Reliability

If content is modified for each user, then information relevance is improved, but computational resources are consumed

Engineering Contradiction:

Improveinformation relevanceVSAvoidcomputational cost

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system applies partial action by modifying only the necessary content items rather than transforming all content. It selectively adjusts content items based on their relevance to the user's profile, applying modifications only where needed to achieve personalized results, thereby reducing unnecessary computational resources while maintaining information relevance.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system performs preliminary computation by pre-processing user profile data and preparing modification strategies before actual content generation. By preparing the necessary computational frameworks and modification rules in advance based on user profiles, the system reduces real-time computational costs while still achieving high information relevance through personalized content modification.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20260064787A1Audience-Based Content Modification

Publication Date: 2026.03.05 GOOGLE LLC

AI summary

Systems and methods for audience-based content modification can include obtaining a content item from a link notes interface, obtaining a user embedding associated with a particular user, determining to augment the content item based on the user embedding, processing the content item and the user embedding with a generative language model to generate an alternative content item, and rendering the alternative content item in place of the content item within the link notes interface. The systems and methods can leverage linguistic characteristic determinations and generative model predictions to generate model-generated content items that vary based on the viewing user.