Entity Interaction History Signatures for Identity Verification

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Solution Overview

Problem

Current social media platforms lack effective methods to model and utilize entity interaction histories for personalized experiences, content recommendation, and identity verification within online social ecosystems.

Innovation Solution

A computerized method that generates and aggregates entity interaction history signatures to create unique identifiers for entities, enabling similarity measures and group signatures, which are used for personalized content suggestions, identity verification, and targeted advertising.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If entity interaction histories are modeled and stored to enable personalized experiences and identity verification, then user experience personalization and security are improved, but system complexity and data storage requirements increase

Engineering Contradiction:

Improveidentity verification accuracyVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments entity interaction histories into discrete interaction traces that are individually processed and stored. Each interaction trace represents a specific interaction event between entities, allowing the system to break down complex interaction patterns into manageable units that can be efficiently stored, retrieved, and analyzed for identity verification purposes.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces interaction traces as intermediary elements that mediate between raw interaction data and identity verification processes. These traces serve as structured representations that capture essential interaction characteristics while filtering out redundant information, thereby simplifying the verification process and reducing system complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If interaction traces are collected and processed for every entity to create unique signatures, then personalization accuracy is improved, but processing time and computational resources increase

Engineering Contradiction:

Improvepersonalization accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary processing of interaction traces by pre-computing and storing essential interaction characteristics in structured formats. This preliminary action prepares the data in advance for quick retrieval and comparison during personalization processes, significantly reducing processing time while maintaining high personalization accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent transforms raw interaction data into standardized interaction trace parameters that capture the essential characteristics of entity interactions. By changing the representation parameters from raw data to structured trace formats, the system enables efficient processing and comparison operations that maintain precision while reducing computational overhead.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If entity signatures are computed and stored for comparison, then similarity measurement capability is improved, but memory storage requirements increase

Engineering Contradiction:

Improvesimilarity measurement capabilityVSAvoidmemory storage

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential interaction characteristics from complete interaction histories to create condensed entity signatures. By taking out and storing only the most relevant interaction features rather than complete interaction logs, the system maintains the ability to perform accurate similarity measurements while significantly reducing memory storage requirements.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20220084071A1Method and system of entity interaction history signatures

Publication Date: 2022.03.17 EDCAST INC

AI summary

In one aspect, a computerized method for implementing entity interaction history signatures includes the step of providing a set of entities in an online network. The method includes the step of comparing a first entity of the set of entities with a second entity of the set of entities using a first entity interaction history signature of the first entity and second entity interaction history signature of the second entity. The method includes the step of based on the comparison of the first entity with the second entity computing a similarity measure. The method includes the step of aggregating a set of entity interaction history signatures for the set of entities to create a group signature.