Context-Aware Search Box with Knowledge Graph Reference Text
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices lack an efficient method to provide a search box with relevant reference text based on user context information and knowledge graphs, leading to suboptimal user experience in searching for functions and applications.
Innovation Solution
An electronic device that includes a processor, memory storing a knowledge graph, and a display, which identifies context information based on triggers and displays a reference text in a search box by comparing context information with nodes of the knowledge graph, allowing for dynamic and context-aware search suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a search box provides only fixed text or is empty, then the device complexity is low, but the user experience and search efficiency are suboptimal
Solution Approach 1:
The system performs preliminary actions by pre-processing user context information (location, time, application state) and pre-generating reference text based on the knowledge graph before the user actually searches. This allows the search box to immediately display relevant reference text when activated, improving search efficiency without requiring complex real-time processing during the search moment
Solution Approach 2:
The patent introduces a knowledge graph as an intermediary layer between the user context information and the reference text generation. The knowledge graph stores structured relationships between entities, attributes, and values, serving as a mediator that transforms raw context data into meaningful reference text suggestions, thereby managing system complexity through modular architecture
2Adaptability or versatility
If the search box displays contextually relevant reference text based on knowledge graphs, then the user experience is enhanced, but the device complexity increases
Solution Approach 1:
The system segments the context-aware search functionality into distinct modular components: (1) context information acquisition module that collects user data, (2) knowledge graph storage module that structures entity relationships, (3) reference text generation module that queries and processes knowledge graph data, and (4) display module that presents results. This segmentation enables high adaptability while managing complexity through clear separation of concerns
Solution Approach 2:
The system dynamically changes parameters such as the displayed reference text content, search suggestions, and contextual information based on varying user states (location, time, active application). The knowledge graph enables flexible parameter adjustment by storing multiple entity attributes and relationships that can be queried根据不同上下文场景，实现高适应性的搜索体验
Data Source
AI summary
An electronic device includes a display; at least one processor; and at least one memory storing a knowledge graph, where the at least one memory stores instructions that, when executed by the at least one processor, cause the electronic device to perform at least one operation, and where the at least one operation includes: based on an occurrence of a trigger, identifying context information; displaying, through the display, a first reference text determined based on the context information and at least one node of the knowledge graph in a search box; displaying, through the display, a text corresponding to the first reference text in the search box according to a user input identical to part of the first reference text; based on the text and the at least one node of the knowledge graph, searching for a first content; and displaying, through the display, the searched first content.