Hierarchical Word Graph Search Intent Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices lack the ability to analyze a user's intent and provide search recommendations based on the level of information desired, leading to inadequate information delivery during searches.
Innovation Solution
An electronic device equipped with a hierarchical word graph and a processor that determines the user's intent and score, identifying the appropriate level of information to display and recommend search words based on user input and search intent analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the electronic device recommends search words based on a specified method regardless of user search intent, then the search function can operate automatically, but the information provided does not match the user's actual information needs
Solution Approach 1:
The system monitors user interactions with displayed information (such as scrolling behavior, time spent viewing, and selection actions) to determine the user's information satisfaction level. This feedback loop allows the device to adjust search recommendations dynamically, ensuring they align with the user's actual information needs while maintaining automated operation.
Solution Approach 2:
The search recommendation system transitions from a static, fixed-method approach to a dynamic system that adapts based on real-time user behavior analysis. The device continuously adjusts the level of information detail and search word suggestions according to the user's demonstrated information satisfaction, making the automation responsive and context-aware.
2Measurement precision
If the electronic device provides detailed information analysis to understand user intent, then search recommendations become more accurate, but the system complexity increases
Solution Approach 1:
Instead of analyzing all possible user behaviors and information metrics, the system focuses on key indicators of information satisfaction such as scrolling depth, time spent on specific sections, and selection actions. This partial analysis approach achieves sufficient intent recognition accuracy without requiring overly complex processing of every possible user interaction.
3Adaptability or versatility
If the electronic device analyzes user behavior to determine information satisfaction level, then search recommendations reflect user intent, but the processing time increases
Solution Approach 1:
The system pre-establishes a hierarchical word graph structure that organizes search words by information level and category. When user behavior is analyzed, the system can quickly map observed behaviors to appropriate pre-defined search recommendations without requiring complex real-time generation, thus reducing processing time while maintaining adaptability.
Data Source
AI summary
An electronic device is provided and includes a display module, at least one processor operably connected to the display module, and a memory operably connected to the at least one processor. The processor is configured to store a hierarchical word graph including a plurality of groups classified by a plurality of levels. The memory stores instructions that cause, when executed, the at least one processor to obtain an event while an application is executed, determine an intent and a score of the intent on the basis of the event, identify a level corresponding to the score of the intent from among the plurality of levels based on the intent and the score of the intent, determine one or more words from among words included in at least one group corresponding to the identified level, among the plurality of groups, based on an input for a search being detected, and display the one or more determined words through the display module.