Actionable Suggestion Triggering for Low-Latency Content Rendering
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Solution Overview
Problem
Existing content suggestions are often rendered in a static manner, leading to inefficiencies such as early or late presentation, which can prolong resource usage and user diversion from relevant content, and do not effectively incorporate actionable suggestions based on the content being rendered.
Innovation Solution
Implementing dynamic triggering conditions on a document-by-document and client-device basis, utilizing coordinate, DOM, and temporal conditions to efficiently render actionable suggestions when they are likely to be interacted with, thereby conserving client device resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If suggestions are rendered as soon as the web page is accessed or after fixed conditions are satisfied, then the suggestions are provided early to users, but the suggestions may occupy screen real estate too early and cause user diversion, prolonging the time to view relevant content and increasing client device resource usage
Solution Approach 1:
The patent applies dynamics by transitioning from static rendering (fixed conditions) to dynamic triggering conditions that adapt based on user interaction state. The system monitors scrolling position, interaction history, and content relevance to determine optimal suggestion timing, allowing the suggestion rendering to be flexible rather than fixed.
Solution Approach 2:
The system implements feedback mechanisms by monitoring user interactions (scrolling behavior, time on page, engagement with content) and using this information to adjust when suggestions are rendered. This closed-loop approach ensures suggestions appear at optimal moments based on actual user behavior rather than predetermined timing.
2Use of energy by moving object
If suggestions are rendered too late or not at all, then client device resources are conserved, but users may ignore or miss the suggestions and seek related content through more resource-intensive means such as Internet searching
Solution Approach 1:
The system performs preliminary actions by pre-processing content and pre-determining potential suggestion candidates while the user is viewing the page, but delays actual suggestion rendering until triggering conditions are met. This allows the system to be ready to provide suggestions quickly when the right moment arrives, without having rendered them prematurely.
Solution Approach 2:
The patent uses dynamic triggering conditions that respond to real-time user behavior, allowing the system to balance resource conservation with timely suggestion delivery. By monitoring user engagement metrics and interaction patterns, the system determines the optimal moment to render suggestions, ensuring they appear when most likely to be useful rather than too early or too late.
3Adaptability or versatility
If multiple triggering conditions are monitored locally at the client device, then suggestions can be dynamically triggered based on user behavior, but this increases the complexity of resource management at the client device
Solution Approach 1:
The patent segments the triggering condition monitoring into distinct, modular components: scrolling position monitoring, interaction history tracking, content relevance analysis, and timing determination. Each component operates independently and can be enabled or disabled based on device capabilities, reducing overall complexity while maintaining adaptability.
Solution Approach 2:
The system implements universal triggering condition monitoring that can adapt to different device types and user scenarios. The same core monitoring infrastructure serves multiple purposes: tracking scrolling behavior, determining engagement level, identifying relevant content sections, and optimizing suggestion timing, thereby reducing redundancy and simplifying resource management.
Data Source
AI summary
Implementations relate to triggering suggestion(s) for a document that is at least partially displayed by a content access application at a user interface of a client computing device. The suggestions(s) can be triggered when one or more triggering conditions that provide when to trigger the suggestion(s) are satisfied. The one or more triggering conditions can include, for example, a coordinate condition, a DOM node condition, and/or a temporal condition.