Network Computer System for Content Prioritization

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Solution Overview

Problem

On-demand service providers face overwhelming amounts of unorganized content from multiple sources, leading to missed important information due to the lack of intelligent content management and prioritization, which can result in inefficiencies and decreased effectiveness in service delivery.

Innovation Solution

A network computer system that coordinates the delivery of content items from multiple sources to service providers based on specific conditions and triggering events, using trigger logic, content coordinator, and resolver logic to prioritize and manage content delivery, ensuring that relevant information is presented effectively and efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If content from multiple sources is delivered to service providers without coordination, then the quantity of available information increases, but the service providers become overwhelmed and miss important information

Engineering Contradiction:
Improvequantity of contentVSAvoidinformation overload
Core Design Contradiction:
Quantity of substanceVSLoss of information

Solution Approach 1:

The system segments content from multiple sources into organized categories and delivers them in a structured manner. The network computer system divides incoming content streams from different sources into manageable segments, assigning priority levels and organizational tags, which prevents service providers from being overwhelmed by unorganized information while still providing comprehensive coverage

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The network computer system acts as an intermediary between multiple content sources and service providers. It receives, processes, and coordinates content from various sources before delivering it to service providers, filtering and prioritizing information to ensure important content is delivered without causing information overload

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If all content items are delivered to service providers, then completeness of information is improved, but service providers cannot efficiently process and prioritize relevant information

Engineering Contradiction:
Improvecompleteness of informationVSAvoidservice delivery efficiency
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The system performs preliminary sorting, filtering, and prioritization of content items before delivery to service providers. The network computer system pre-processes incoming content, organizing it by relevance, urgency, and service provider context, so that when content is delivered, service providers receive it in an already-optimized format that enhances their ability to process information efficiently

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system applies different processing and delivery strategies to different types of content based on their specific characteristics. Important time-sensitive content receives priority handling and immediate delivery, while less critical content is buffered or summarized, allowing service providers to focus on high-priority information while maintaining access to comprehensive content

Inventive Principle:
Principle #3Local quality

3Reliability

If content delivery is coordinated based on multiple conditions and triggers, then relevance and timeliness of content are improved, but system complexity increases

Engineering Contradiction:
Improvecontent relevanceVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system uses dynamic condition evaluation and trigger-based content delivery that adapts to real-time service provider context. The network computer system continuously monitors service provider status, location, and task context, automatically adjusting content delivery based on changing conditions without requiring complex manual configuration, thereby maintaining high content relevance while managing system complexity through adaptive algorithms

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS10743145B2Network computer system to coordinate delivery of network content to service providers
Publication Date: 2020.08.11 UBER TECHNOLOGIES INC
  • US10743145B2 patent drawing
  • US10743145B2 patent drawing
  • US10743145B2 patent drawing

AI summary

A computer system can detect a trigger in connection with an activity performed by a service provider, and determine (i) a first content item associated with the detected trigger and a second content item associated with the detected trigger, and (ii) select a set of service parameters relating to a service session of the service provider based on the first content item and the second content item. Additionally, the computer system can obtain feature data of the first content item and the second content item. Based on the feature data of the first content item and the second content item, the computer system can determine that a corresponding graphical representation of the first content item and of the second content item overlap for a given time interval. Based on a set of prioritization rules, the computer system can select one of the first or second content item and generate the corresponding graphical representation of the selected one of the first or second content item for the given time interval.