Direct App-to-App Transfer With Context-Based Content Recommendation
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Solution Overview
Problem
Existing mobile device app recommendation methods rely on unreliable external sources such as reviews and pop-up ads, which can be misleading and do not consider the actual user context.
Innovation Solution
A device-to-device connection system that automatically recommends software or applications based on the files being transferred between devices, analyzing installed apps and selecting content for transfer without user visibility, using a direct wireless connection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users obtain app recommendations from external sources such as reviews or pop-up ads, then they can access a wide range of app suggestions, but the reliability and accuracy of these recommendations deteriorates because they are unreliable and could be misleading
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between the user's device and the app ecosystem. This intermediary analyzes the user's existing apps, file selections, and device context to generate personalized recommendations, thereby improving reliability while maintaining access to relevant information.
Solution Approach 2:
The system enables self-service by allowing the device to automatically analyze its own installed apps and user behavior patterns. The device serves itself by generating recommendations based on its own data without relying on external sources, thus improving recommendation reliability.
2Adaptability or versatility
If the system analyzes installed apps and automatically selects content for transfer, then the recommendation relevance improves, but the user awareness and control over the transfer process deteriorates because the identified content may be initially invisible to the user
Solution Approach 1:
The system implements feedback mechanisms where the automatically selected content is presented to the user for confirmation. The user can review the recommended apps and modify their selection before transfer, ensuring both high relevance and maintained user control.
Solution Approach 2:
The system performs preliminary analysis and selection of content before the actual transfer process. By pre-identifying relevant apps based on file selection context, it prepares recommendations in advance while still allowing user review and approval, thus balancing automation with user control.
3Speed
If the system establishes a directed device-to-device connection for automatic content transfer, then the transfer speed and directness improves, but the system complexity increases due to the need for connection management and analysis processes
Solution Approach 1:
The patent merges multiple functions into a unified system: connection establishment, file analysis, app recommendation generation, and content transfer are combined into a single integrated process. This reduces the apparent complexity by presenting a unified interface to the user while maintaining fast transfer speeds through direct device-to-device connection.
Data Source
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AI summary
A mobile computer system for a device-to-device content recommendation including a processor configured to execute computer-executable instructions for establishing a directed device-to-device connection between a source app of a first device and a destination app of a second device. The processor further receives a selection of one or more files to be transferred to the destination app via a graphical user interface. The processor further analyzes one or more of the following: the selected one or more files, and the apps already installed on the first device. The processor identifies a content to be recommended to the second device, wherein the identified content may be initially invisible to a user before the selection. In response to the identification and the selection, the processor locates data of the content in the first device and selects the content to be transferred along with the selection of the one or more files.