Item List Update Frequency Reduction via Trigger Interval Merging
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Solution Overview
Problem
In the field of information display, the frequent updates of item lists on terminals due to close occurrence times of items lead to intensive update events, causing thread crashes, network congestion, and inaccurate updates.
Innovation Solution
An information processing method that determines a target timed task based on the triggering point-in-time interval and sequence of occurrence periods, updating the item list at the triggering point in time of the target timed task, thereby reducing the frequency of update events and improving update accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the server continuously updates the item list based on occurrence time of each item, then the item list can be kept timely updated, but intensive update events occur causing thread crashes and network congestion
Solution Approach 1:
The patent implements periodic action by introducing a time interval threshold for update events. When the time interval between consecutive update events is less than the threshold, the update event is merged with the previous one; when it exceeds the threshold, a new update event is triggered. This periodic filtering mechanism reduces excessive update frequency while maintaining necessary update timing, thereby preventing thread crashes and network congestion caused by intensive updates.
2Measurement precision
If update events occur frequently with close time intervals, then the item list can reflect real-time changes, but network congestion and time delay occur resulting in inaccurate updates
Solution Approach 1:
The patent applies merging by consolidating multiple update events that occur within a threshold time interval into a single update event. When consecutive update events are detected with time intervals below the threshold, they are merged together, reducing the number of separate network transmissions. This merging approach decreases network congestion and associated delays while still ensuring that all item changes are ultimately reflected in the updated list, thereby improving both update accuracy and reducing time loss.
Data Source
AI summary
Disclosed are an information processing method, an information processing system, an electronic device and a storage medium. The information processing method includes: receiving a plurality of pieces of item information sent by a client, each piece of item information including an occurrence time period of an item and a corresponding timing task, before the current timing task to be triggered is triggered, determining a trigger time point interval between the current timing task to be triggered and the next timing task to be triggered; and based on the trigger time point interval and the sequence of the occurrence time periods, determining a target timing task from the current timing task to be triggered and the next timing task to be triggered, and updating, at a trigger time point of the target timing task, the item list displayed on the terminal.