Smart Tag Search Filtering for Object Retrieval
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Solution Overview
Problem
Users face challenges in quickly retrieving specific files or objects from information handling devices due to poorly organized storage and limited search options, such as file names and date-based searches, which are ineffective for non-data objects like pictures and videos.
Innovation Solution
Implementing smart tags that associate metadata, user-provided keywords, and system-generated data with objects, allowing for intelligent filtering and modification of search results using a tag infrastructure to broaden or narrow search outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users rely on traditional search methods (file names, date-based searches), then the search interface remains simple, but search effectiveness deteriorates significantly for non-data objects like pictures and videos
Solution Approach 1:
The patent introduces smart tags as an intermediary layer between users and files. Tags serve as semantic mediators that bridge the gap between simple search interfaces and complex file structures, enabling effective search without requiring complex query syntax or understanding of file organization systems.
Solution Approach 2:
The system automatically generates and manages smart tags based on file content and metadata without requiring manual user tagging. The search system self-adjusts by interpreting tag relationships and automatically refining search results, reducing the burden on users while maintaining simple interaction.
2Adaptability or versatility
If objects are scattered across multiple devices and cloud storage, then storage capacity and accessibility increase, but object retrieval difficulty increases
Solution Approach 1:
Smart tags function universally across multiple devices and storage locations. A single tag applied to a file creates a persistent identifier that works whether the file is stored locally, in cloud storage, or on different devices, enabling consistent search and retrieval without requiring device-specific knowledge.
Solution Approach 2:
The search system provides feedback by presenting relevant tagged objects across different devices and storage locations in a unified interface. The system learns from user interactions with search results and automatically adjusts future search queries to better match user needs, reducing retrieval time.
3Measurement precision
If manual tagging of objects is required, then search precision improves, but user effort and time consumption increase
Solution Approach 1:
The system performs preliminary actions by automatically generating smart tags based on file content analysis, metadata extraction, and pattern recognition before the user needs to search. This pre-tagging eliminates the need for manual tagging while maintaining high search precision through intelligent tag generation.
Solution Approach 2:
The system changes the parameter of tag generation from manual user input to automated system-generated tags based on multiple parameters including file content, metadata, and contextual information. This transformation maintains search precision while dramatically reducing user effort and time consumption.
Data Source
AI summary
An aspect provides a method, including: receiving from a user, at an input device of an information handling device, user object search input including at least one search term; accessing, using a processor, tag information of a plurality of tags associated with stored user objects; determining, using a processor, at least one modification to the user object search input to change results produced by the user object search input based on the tag information; and providing search results according to the at least one modification. Other aspects are described and claimed.