Dynamic Suggestion Triggering for Rendered Content Latency Control
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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 distraction, and do not effectively incorporate actionable suggestions based on the content being viewed.
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, such as adding ingredients to a shopping list, by pre-indexing suggestions with document identifiers and monitoring interface conditions to optimize resource usage.
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 this causes notifications to occupy limited screen real estate and cause user distraction, prolonging the time to view relevant portions of the web page and increasing client device resource usage
Solution Approach 1:
The patent applies dynamics by transitioning from static rendering (fixed conditions) to dynamic rendering (monitoring multiple triggering conditions). The system dynamically determines when to render suggestions based on real-time monitoring of coordinate conditions, DOM conditions, and temporal conditions, allowing the suggestion rendering timing to adapt to actual user behavior and content loading states rather than following a predetermined schedule.
2Ease of operation
If suggestions are rendered too late or not at all, then screen real estate and user distraction are minimized, but users may ignore or not be presented with the notification and seek related content through more resource and network intensive means such as Internet searching
Solution Approach 1:
The patent applies feedback by implementing a monitoring system that continuously evaluates triggering conditions (coordinate conditions, DOM conditions, temporal conditions) and adjusts suggestion rendering decisions based on this feedback. The system receives feedback from the web page loading state, user scrolling position, and time elapsed since page access, using this information to determine the optimal moment to render suggestions, thereby balancing early presentation with minimal user disruption.
3Adaptability or versatility
If multiple triggering conditions are monitored locally at the client device, then suggestions can be dynamically triggered based on actual user behavior, but this increases usage of often constrained resources of the client device
Solution Approach 1:
The patent applies segmentation by dividing the triggering condition monitoring into distinct, independent conditions: coordinate conditions (based on user scrolling position), DOM conditions (based on web page structure and content loading state), and temporal conditions (based on time elapsed). This segmentation allows the system to monitor multiple conditions simultaneously while organizing the complexity into manageable, separate evaluation modules, reducing the cognitive and computational burden compared to a monolithic monitoring approach.
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.