Dynamic Page Entry Controls for Context-Aware Navigation
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Solution Overview
Problem
Existing page entry systems in applications lack flexibility and intelligence, often displaying pre-defined page entries that may not be frequently used or relevant to the user's current scenario, leading to an inadequate user experience.
Innovation Solution
A method that determines a target page set based on historical page jump records and current scenario information, creating page-entry controls that are likely to be operated by the user, thereby enhancing user experience by displaying relevant page entries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed page entries are used in navigation bars, then users can quickly familiarize with APP functions and find corresponding entries, but the system lacks flexibility
Solution Approach 1:
The patent implements dynamic page entries that automatically adjust their display based on user behavior patterns and scenario context. The system transitions from static fixed positions to dynamic positioning where entries move and reorganize themselves according to real-time user needs, historical behavior, and current application state, thereby achieving both ease of operation and adaptability
Solution Approach 2:
The system performs preliminary analysis of user behavior history and scenario information before displaying page entries. By pre-processing user data and predicting potential navigation needs, the system proactively arranges page entries in optimal positions before the user actually needs them, improving both accessibility and adaptability
2Adaptability or versatility
If floating page entries are provided, then the system becomes more flexible, but the entries are not accurate and intelligent enough as they may not be what the user really wants
Solution Approach 1:
The system continuously monitors user interactions with floating page entries and uses this feedback to refine future entry recommendations. By analyzing click patterns, dwell time, and navigation sequences, the system learns from user behavior and progressively improves the accuracy of predicted user needs, reducing information loss about user intent
Solution Approach 2:
The floating page entry system performs self-optimization by automatically analyzing user behavior patterns and adjusting entry content and positioning without manual intervention. The system serves itself by learning from aggregated user data and autonomously improving its intelligence and accuracy over time
3Device complexity
If pre-defined page entries are displayed, then the navigation structure is simple, but the entries may not be frequently used or relevant to the user's current scenario
Solution Approach 1:
The system dynamically changes parameters such as entry positioning, size, and visibility based on scenario context and user behavior. By adjusting these parameters in real-time, the system maintains a simple overall navigation structure while optimizing specific entry presentations to match current user needs and scenarios, thereby improving navigation efficiency without increasing structural complexity
Data Source
AI summary
A page display method is provided. The method includes determining a first page based on a first operation on a client; and obtaining, in response to the first operation on the client, current scenario information of the client and a first target page set that is generated according to a page jump historical record of the first page. The method also includes determining a second target page set corresponding to the current scenario information according to a correspondence between scenario information and target pages in the first target page set; creating a corresponding page-entry control for at least one page in the second target page set; and displaying the first page and the page-entry control for at least one page.