Smart Tag Inferences for Object Retrieval
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Solution Overview
Problem
Users face challenges in quickly finding specific objects across multiple devices and cloud storage due to unhelpful file names and lack of effective retrieval mechanisms, especially for non-data objects like pictures and videos.
Innovation Solution
The implementation of smart tags that utilize user-generated metadata and system-originated data, such as location and sensor information, to facilitate object retrieval, along with a tagging profile that ranks search results based on user preferences and historical search patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If objects are stored across multiple devices and cloud storage with automatic file naming, then storage capacity and accessibility are improved, but object retrieval difficulty increases
Solution Approach 1:
The patent introduces smart tags as intermediary elements that bridge users and objects. These tags contain contextual information (location, time, device, sensor data) that automatically associates with objects, serving as a mediator that enables efficient retrieval without requiring users to manually organize files or remember exact file names across multiple devices and cloud storage locations.
Solution Approach 2:
The system performs preliminary action by automatically generating and attaching smart tags to objects at the time of creation or transfer. This advance organization using contextual data (GPS location, device identifiers, timestamp, sensor information) eliminates the need for later manual sorting, enabling fast retrieval even as the quantity of stored objects grows across multiple devices.
2Productivity
If file names are generated automatically by devices, then storage efficiency is improved, but searchability deteriorates
Solution Approach 1:
Smart tags serve as an intermediary layer between automatic file naming and user search needs. While files retain their efficient automatic names (e.g., IMG_1234.JPG), the associated smart tags contain human-readable contextual information (location, event, date) that enables meaningful search without requiring manual file renaming, thus maintaining storage efficiency while improving searchability.
Solution Approach 2:
The patent changes the parameter of object identification from relying solely on file names to using contextual parameters embedded in smart tags (GPS coordinates, timestamp, device ID, sensor data). This parameter transformation allows the system to maintain efficient automatic naming conventions while enabling powerful search capabilities based on multiple contextual dimensions rather than just file names.
3Measurement precision
If contextual data is collected for all objects, then retrieval accuracy is improved, but system complexity increases
Solution Approach 1:
The smart tag system uses a universal multi-functional data structure that collects various types of contextual data (location, time, device, sensor information) in a standardized format applicable to all objects regardless of type. This universal approach improves retrieval accuracy across diverse objects while managing system complexity through a single, consistent tagging mechanism rather than separate systems for different object types.
Data Source
AI summary
An aspect provides a method, including: accessing a tagging profile based on a store of historical user object information; determining, using the processor, a current user object search has been made by a user; determining, using the processor, a priority smart tag for providing results for the current user object search based on the tagging profile; and providing the results of the current user object search according to the priority tag determined. Other aspects are described and claimed.