Proximity-Based Digital Item Ranking for Tagging Efficiency
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Solution Overview
Problem
Current tag suggestion systems for digital contents, relying on tagging history or face recognition, are inefficient in associating digital items with people, making it tedious to add tags, especially when multiple people are involved.
Innovation Solution
A method and device for a personal communication device (PCD) that detects nearby PCDs using wireless protocols or server notifications, ranks digital items based on their presence, and presents them to the user, prioritizing items associated with nearby devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If tag suggestion systems rely on tagging history or face recognition, then digital items can be associated with people, but the process remains tedious and inefficient, especially when multiple people are involved
Solution Approach 1:
The system proactively detects nearby PCDs and pre-generates tag suggestions before the user actually needs to tag content. By performing the detection and ranking operations in advance based on spatial proximity, the system prepares relevant tags so that when tagging is needed, the user simply selects from pre-sorted options rather than manually searching or creating tags
Solution Approach 2:
The system introduces PCD proximity detection as an intermediary mechanism between the user and the tagging process. Instead of directly relying on tagging history or face recognition alone, the system uses spatial information from nearby devices as a mediating factor to generate and rank tag suggestions, creating a more intuitive bridge to the user's current context
2Measurement precision
If the system detects and ranks digital items based on nearby PCDs, then tag suggestions become more accurate and convenient, but the device complexity increases due to wireless detection and state management
Solution Approach 1:
The system segments the tag suggestion process into distinct functional modules: PCD detection module, state management module, ranking module, and presentation module. Each module handles a specific aspect of the process, making the overall complex system more manageable and maintainable while improving accuracy through specialized processing at each stage
Solution Approach 2:
The PCD detection and state management infrastructure serves multiple functions beyond just tag suggestion. The same detection mechanism supports contactless sharing, proximity-based notifications, and contextual information gathering, thereby amortizing the complexity cost across multiple useful features rather than creating dedicated complex systems for each function
Data Source
AI summary
A method for presenting digital items is provided. The method is executed by a first PCD and includes the following steps. Detect the existence of one or more second PCDs by the first PCD. Update the state of each said second PCD according to the detection. Rank the order of the one or more second PCDs according to the state, wherein the order of the second PCDs whose state is present is higher than the order of the second PCDs whose state is absent. Present one or more digital items according to the order of the one or more second PCDs.