Actionable Content Transfer via Intermediary Engine
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Solution Overview
Problem
Existing technologies fail to effectively identify and transfer actionable content between computing devices based on user interest, leading to inefficiencies in utilizing content across different devices.
Innovation Solution
A method and system that utilize an actionable content recognition engine and content submission engine to identify actionable content on one computing device and transfer it to another based on user interest, determined by factors such as time passage, application usage, and user actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If actionable content is transferred between computing devices, then content accessibility and user experience are improved, but system complexity and data management overhead increase
Solution Approach 1:
The patent introduces a content submission engine as an intermediary component that acts as a bridge between the first computing device and the second computing device. This engine receives content from the first device, processes it to identify actionable content, and submits it to the second device. By centralizing the content transfer logic in a dedicated intermediary component, the system achieves improved content accessibility across devices while managing complexity through modular architecture rather than direct peer-to-peer transfers between multiple devices.
2Measurement precision
If content is transferred based on user interest determination, then content relevance is improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by proactively determining user interest in content before the actual content transfer occurs. The content submission engine analyzes user behavior, device usage patterns, and content characteristics to predict which content the user is likely to find relevant on the second computing device. By performing this interest determination in advance rather than waiting for explicit user requests or transferring all possible content, the system achieves high content relevance while minimizing processing time and computational resources by focusing only on predicted high-value transfers.
3Productivity
If actionable content is identified and transferred, then content utility is improved, but information filtering and selection complexity increase
Solution Approach 1:
The patent applies local quality by making the content submission engine's filtering and selection capabilities device-specific and context-aware. Rather than using a universal one-size-fits-all filtering approach, the engine adapts its content identification and selection criteria based on the specific characteristics of the source device, the target device, and the user's context on each device. This allows the system to achieve high content utility by transferring only the most relevant actionable content while managing filtering complexity through localized, context-specific rules rather than complex global filtering algorithms.
Data Source
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AI summary
Methods and apparatus related to identifying content accessed on a computing device that is likely actionable on another computing device. Some implementations are directed to methods and apparatus for identifying a computing device of a user, identifying content accessed on another computing device by the user, determining content that is actionable on the computing device, determining a confidence level that the actionable content is of interest to the user, and providing the actionable content for use on the computing device if the confidence level satisfies a threshold. The confidence level may be based on an indication of time passage between the user accessing the content on the other computing device and the identified use of the computing device.