Content Sharing Management via Recipient Profile Analysis

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Solution Overview

Problem

Current content sharing systems often result in recipients receiving irrelevant or repetitive content, leading to message overflow and inefficient network traffic, as they lack selectivity in sharing processes.

Innovation Solution

A method and system that analyze the sharing profile of recipients and the characteristics of the content item to generate recommendations on whether to share the content, allowing senders to selectively share relevant content with specific recipients, reducing unnecessary sharing and improving messaging service efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If content sharing is performed without selectivity, then all recipients receive the content, but recipients receive irrelevant or repetitive content leading to message overflow and inefficient network traffic

Engineering Contradiction:

Improvecontent sharing efficiencyVSAvoidmessage overflow and network traffic

Core Design Contradiction:

ProductivityVSObject-generated harmful factors

Solution Approach 1:

The system performs preliminary analysis of recipient sharing profiles and content characteristics before the actual sharing action. By pre-evaluating compatibility between content and recipient interests, the system generates recommendations that prevent irrelevant content from being shared in the first place, thereby avoiding message overflow and inefficient network traffic

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by analyzing sharing activities and generating recommendations based on recipient profiles. This feedback loop allows the system to learn from past sharing behaviors and continuously improve content-recipient matching, reducing irrelevant content delivery and network inefficiency

Inventive Principle:

Principle #23Feedback

2Reliability

If sharing recommendations are generated based on sharing profiles and content characteristics, then relevant content is shared with appropriate recipients, but the system complexity increases due to profile analysis and recommendation generation

Engineering Contradiction:

Improvecontent relevanceVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the content sharing process into distinct components: content analysis, recipient profile analysis, compatibility evaluation, and recommendation generation. This segmentation allows each component to be optimized independently and makes the overall system more manageable and maintainable while ensuring reliable content matching

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces a recommendation engine as an intermediary between the content sender and recipient. This intermediary analyzes both content characteristics and recipient profiles to generate sharing recommendations, ensuring content relevance without requiring direct complex interactions between senders and recipients

Inventive Principle:

Principle #24Intermediary (Mediator)

3Loss of energy

If selective content sharing is implemented, then unnecessary sharing is reduced, but the ease of operation decreases as senders must review recommendations before sharing

Engineering Contradiction:

Improvenetwork trafficVSAvoidsharing operation

Core Design Contradiction:

Loss of energyVSEase of operation

Solution Approach 1:

The system implements partial automation by generating sharing recommendations that senders can review and approve with a single action. This partial action approach reduces network traffic by filtering irrelevant content while maintaining ease of operation through simplified approval workflows, avoiding the need for complete manual review

Inventive Principle:

Principle #16Partial or excessive action

4Adaptability or versatility

If sharing profiles are analyzed for each recipient, then content can be tailored to individual interests, but the processing time and computational resources increase

Engineering Contradiction:

Improvecontent personalizationVSAvoidprocessing time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis and builds sharing profiles in advance, storing recipient preferences and content characteristics before actual sharing occurs. This pre-processing allows rapid recommendation generation during actual sharing operations, enabling content personalization without significant processing delays

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10776432B2Content sharing management

Publication Date: 2020.09.15 PECAN TECH

AI summary

The presently disclosed subject matter includes a system, a method and a program storage device which enable to add selectivity to content sharing between users of communication networks. When a sender indicates a desire to share content, information with respect to the suggested content item (i.e. the content item intended to be shared) and information with respect to the sharing profile of one or more respective target recipients is analyzed. A recommendation is provided as whether or not it is suggested to the sender to perform an action. For example, the recommendation can be indicative as to whether or not it is recommended to share a given content item with a given recipient.