Contextual Intent Mining Without PII for Relevant Product Topics

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing content supply systems struggle to provide relevant information due to restrictions on personal information, personal identification information (PII), and network cookie data, limiting the ability to identify content that is truly relevant to intended recipients.

Innovation Solution

A system that analyzes inquiry content without PII or network cookies, using historic information and correlations to determine intent, identify relevant products, and generate enhanced listings based on product associations and topic confidence scores, enabling targeted content distribution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If personal identification information (PII) and network cookie data are restricted, then privacy protection is improved, but content relevance to intended recipients deteriorates

Engineering Contradiction:

Improveprivacy protectionVSAvoidcontent relevance

Core Design Contradiction:

Object-affected harmful factorsVSLoss of information

Solution Approach 1:

The patent introduces an intermediary system that processes and analyzes content signals without directly accessing or storing PII. This intermediary layer enables content personalization by deriving insights from anonymized browsing patterns and signal correlations, thus maintaining privacy protection while preserving content relevance through indirect information processing

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system creates copies of browsing patterns and user behavior signals in anonymized form, replacing direct use of PII with replicated behavioral data. This copying approach allows the system to analyze and personalize content based on user preferences and habits without handling actual personal identification information, thereby resolving the contradiction between privacy and relevance

Inventive Principle:

Principle #26Copying

2Reliability

If personal identification information (PII) and network cookie data are restricted, then data security is improved, but ability to identify relevant content deteriorates

Engineering Contradiction:

Improvedata securityVSAvoidcontent identification capability

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent extracts essential behavioral patterns and content preferences from browsing data while removing all PII and identifying information. This extraction process separates the useful signal (behavioral patterns) from the sensitive data (personal information), enabling secure data handling while maintaining content identification capability through the extracted anonymized patterns

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system transforms data parameters by converting identifiable PII into anonymized behavioral metrics and signal patterns. This parameter change allows the system to maintain analytical capability for content identification while operating within security constraints, as the transformed parameters no longer contain personally identifiable information but preserve behavioral insights

Inventive Principle:

Principle #35Parameter changes

3Device complexity

If traditional content supply methods are used without enhanced contextual analysis, then system complexity is reduced, but content relevance and personalization deteriorate

Engineering Contradiction:

Improvesystem complexityVSAvoidcontextual relevance

Core Design Contradiction:

Device complexityVSLoss of information

Solution Approach 1:

The patent segments the content supply process into distinct functional modules: signal reception, browsing pattern analysis, correlation processing, and content selection. This segmentation allows each module to perform a specific function with manageable complexity, while the integrated system achieves enhanced contextual relevance through the coordinated operation of these modular components

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary analysis of browsing patterns and signal correlations before actual content delivery. By pre-processing and storing anonymized behavioral patterns and their correlations with content preferences, the system reduces real-time processing complexity while maintaining high content relevance through previously computed contextual insights

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12555139B2Systems and methods of providing enhanced contextual intelligent information

Publication Date: 2026.02.17 WALMART APOLLO LLC

AI summary

Some embodiments provide systems to determine contextual information comprising: an intent mining system that receive inquiry content that does not include personal identification information (PII) and is configured to determine an estimated intent information being sought by an intended recipient, identify a mapping to a sub-set of supplemental keywords corresponding to the intent information; and identify historic inquiries associated with actual historic product purchases relevant to the inquiry content and supplemental keywords, and obtain a listing of products associated with the inquiry content; a product association system that identifies a set of multiple products that each have a purchase threshold relationship with one or more products from the determined listing of products, and generate an enhanced listing of products; a topic extraction system that evaluates associations between product parameters of the enhanced listing of products to identify multiple associated topics and corresponding topic confidence scores.