Unified Algorithm Integrating Social Commerce and IoT Data

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Solution Overview

Problem

Current systems fail to seamlessly integrate social networking, electronic commerce, and mobile internet devices to provide a consistent user experience across touchpoints, lacking real-time information integration and intelligent algorithms for enhanced user interactions.

Innovation Solution

The integration of a unified algorithm, including a software agent, fuzzy logic, predictive, and self-learning algorithms, within a mobile internet device, coupled with wireless transmitters and sensors, to connect users with objects and enable dynamic electronic commerce and social networking, utilizing advanced microprocessor designs and blockchain technology for secure transactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If social networking, electronic commerce, and mobile internet devices are integrated, then user experience consistency is improved, but system complexity increases

Engineering Contradiction:

Improveuser experience consistencyVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent merges social networking, electronic commerce, and mobile internet device functionalities into a unified system. The mobile internet device serves as a central hub that integrates communication, commerce, and social interaction capabilities, allowing users to access multiple services through a single device interface, thereby improving user experience consistency while managing system complexity through integrated architecture

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The mobile internet device is designed with multi-functionality to perform diverse roles including social networking communication, electronic commerce transactions, and information access. This universal device approach allows a single system to handle multiple functions that would traditionally require separate systems, improving versatility while consolidating complexity into one platform

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Productivity

If real-time information integration is implemented, then user engagement is improved, but information processing requirements increase

Engineering Contradiction:

Improveuser engagementVSAvoidinformation processing requirements

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The system performs preliminary actions by pre-processing and organizing information from multiple sources before it reaches the user. The mobile internet device anticipates user information needs by pre-fetching and structuring data, so when users engage with the system, the information is already prepared and optimized, reducing real-time processing requirements while maintaining high user engagement

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms that continuously monitor user interactions and information processing patterns. By analyzing user behavior feedback, the system optimizes information processing efficiency, prioritizing and filtering data based on actual user needs, thereby reducing unnecessary processing requirements while maintaining high user engagement through relevant real-time information

Inventive Principle:

Principle #23Feedback

3Productivity

If intelligent algorithms are integrated, then transaction efficiency is improved, but computational requirements increase

Engineering Contradiction:

Improvetransaction efficiencyVSAvoidcomputational requirements

Core Design Contradiction:

ProductivityVSPower

Solution Approach 1:

The patent segments computational tasks by distributing intelligent algorithm processing across multiple levels: basic processing occurs at the mobile device level, while more complex analytical tasks are handled by server-side systems. This segmentation allows transaction efficiency to be improved through localized intelligent processing while reducing the computational burden on individual devices by offloading heavy processing to centralized infrastructure

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS10540704B2System and method for machine learning based user application

Publication Date: 2020.01.21 MAZED MOHAMMAD A

AI summary

The invention synthesizes a social network, electronic commerce (including performance based advertisement and electronic payment), a mobile internet device and a machine learning algorithm(s), utilizing a classical computer or a quantum computer enhanced machine learning algorithm(s), utilizing a quantum computer. The synthesized social commerce further dynamically integrates stored information, real time information and real time information/data/image(s) from an object/array of objects (Internet of Things (IoT)). The machine learning algorithm(s), utilizing a classical computer can include a software agent, a fuzzy logic algorithm, a predictive algorithm, an intelligence rendering algorithm and a self-learning (including relearning) algorithm.