Context-Aware Search Assistance for Repetitive User Actions
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Solution Overview
Problem
Users frequently repeat the same computer-implemented actions, such as search queries, which can lead to redundant input operations and increased system resource utilization.
Innovation Solution
A computer-implemented technique that analyzes user patterns in search requests to proactively provide a digital action-assistance tool, reducing the need for manual input by presenting relevant search requests or results at appropriate times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually enter search requests repeatedly, then the system can provide accurate search results, but the user input time and system processing resources increase
Solution Approach 1:
The system performs preliminary analysis of user behavior patterns to predict future search requests. By detecting patterns in historical search data and proactively presenting predicted search requests or results before the user actually needs them, the system eliminates redundant manual input while maintaining search accuracy.
2Reliability
If users manually enter search requests repeatedly, then the system can process each request individually, but the system resource utilization increases
Solution Approach 1:
The system serves itself by automatically detecting user behavior patterns and generating predictive search requests without requiring continuous user input. The system monitors its own operation logs, identifies patterns, and proactively executes search operations based on predicted user needs, thereby reducing overall system resource consumption while maintaining processing capability.
3Ease of operation
If the system proactively provides digital action-assistance tools, then user input is minimized, but the system complexity increases
Solution Approach 1:
The system continuously monitors user interactions and search behavior patterns, using this feedback to refine its predictive models. By analyzing actual user responses to predicted search requests and adjusting its pattern recognition algorithms accordingly, the system improves its accuracy over time while keeping the user interface simple and the automation transparent to the end user.
Data Source
AI summary
A computer-implemented technique is described herein for facilitating a user's repeated execution of the same computer-implemented actions. The technique performs this task by determining patterns in the manner in which the user repeats requests associated with certain computer-implemented actions. For example, the technique determines context-dependent patterns in the manner in which the user submits search requests to a search system. The technique then leverages those patterns by proactively providing a request-assistance tool to the user in those context-specific circumstances in which the user is likely to perform the repetitive computer-implemented actions. The digital action-assistance tool provides various kinds of assistance to the user in performing the repetitive computer-implemented actions.