Smart Content Sharing Recommendations for Calendar Events
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Solution Overview
Problem
Users of electronic devices face frustration and tedium when trying to share content items due to confusion about which sharing modality to use and the complexity of navigating menu-based selections.
Innovation Solution
A portable communications device that tracks user-based content-sharing selections over time to create a sharing history, allowing for recommendations on how to share content items with other event participants, using various sharing modalities such as email, social networks, and cloud services, and presenting these recommendations intuitively on a touch-sensitive display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple sharing modalities are provided, then sharing versatility is improved, but user confusion and operational complexity increase
Solution Approach 1:
The system automatically analyzes user behavior patterns and event characteristics to generate sharing recommendations without requiring manual user configuration. The device self-adapts by learning from past sharing decisions and automatically presents context-appropriate sharing options, eliminating the need for users to navigate complex modality selections.
Solution Approach 2:
The system implements feedback loops by tracking user sharing history and event outcomes to continuously refine sharing recommendations. User interactions with recommended sharing actions are monitored and fed back into the recommendation engine, improving accuracy over time and reducing user confusion through increasingly precise suggestions.
2Measurement precision
If manual navigation of sharing options is required, then sharing precision is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary analysis of user behavior patterns, event characteristics, and content types before the actual sharing action is needed. By pre-computing and storing sharing recommendations based on historical data, the system eliminates the need for manual navigation during the sharing moment, providing instant, accurate suggestions.
Solution Approach 2:
The recommendation engine acts as an intermediary between the user and multiple sharing modalities. Instead of requiring direct user navigation through all available options, the intermediary filters and prioritizes sharing actions based on learned patterns, presenting a simplified selection that maintains precision while reducing time consumption.
3Ease of operation
If sharing recommendations are generated, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The device leverages existing multi-functional components (processor, memory, sensors, communication interfaces) to implement the tracking and recommendation system. By reusing existing hardware and software infrastructure for multiple purposes (event management, content management, user profiling), the system achieves recommendation capabilities without proportionally increasing device complexity.
Data Source
AI summary
In one embodiment, an apparatus is configured to facilitate sharing a particular content item (such as, for example, a particular digital photograph, a video, a presentation, and so forth) with the participants of a scheduled calendar event (such as a face-to-face meeting, a distance meeting, an appointment, and so forth). By one approach the user is presented with an opportunity to assert a non-specific share command that triggers the aforementioned display of one or more recommended sharing actions.