Animation Queue Reordering Based on User Playback Behavior

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Solution Overview

Problem

Existing animations on online shopping platforms lack mechanisms for monitoring and analyzing user behavior, resulting in non-targeted pushes that fail to accurately capture users' real needs and improve product sales.

Innovation Solution

An animation queue optimization method that records user operations during playback and adjusts animations and playback order based on these operations to create an optimized queue that aligns with user preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If animations are pushed equally to all users, then the push coverage is maximized, but the push precision and user engagement are reduced

Engineering Contradiction:

Improvepush coverageVSAvoidpush precision

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent segments the animation queue into multiple sub-queues based on user behavior characteristics and preferences. Instead of a single unified queue, users receive customized animation sequences tailored to their specific interests and engagement patterns, thereby achieving both broad coverage and precise targeting.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The animation queue is made dynamic by adjusting its content and order based on real-time user operations and feedback. The system continuously monitors user interactions and reconfigures the queue to optimize engagement, allowing the push strategy to adapt to individual user preferences while maintaining overall coverage.

Inventive Principle:

Principle #15Dynamics

2Measurement precision

If user behavior monitoring is implemented, then the push precision is improved, but the system complexity increases

Engineering Contradiction:

Improvepush precisionVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system implements self-service mechanisms where users implicitly provide feedback through their natural interactions with animations (e.g., watching time, skipping, clicking). This automatic behavior tracking eliminates the need for complex explicit monitoring systems while still achieving precise user preference analysis.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent incorporates feedback loops where user operations on animations are continuously monitored and fed back into the queue optimization algorithm. This feedback mechanism enables the system to learn from user behavior and automatically adjust the animation queue composition, improving precision without requiring manual intervention or overly complex monitoring infrastructure.

Inventive Principle:

Principle #23Feedback

3Productivity

If the animation queue is dynamically adjusted, then the user engagement is improved, but the processing time and computational resources increase

Engineering Contradiction:

Improveuser engagementVSAvoidprocessing time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-segmenting the animation queue into thematic or product-category-based sub-queues before user interaction. This pre-organization allows for rapid retrieval and customization during runtime, reducing the computational burden and processing time required for dynamic adjustments while maintaining high user engagement.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20260112100A1Animation queue optimization method and products thereof

Publication Date: 2026.04.23 NANJING XIYIN ECOMMERCE CO LTD

AI summary

An animation queue optimization method includes obtaining an animation queue and playing animations in the animation queue, recording user operations performed during the playback of each animation in the animation queue, and adjusting the animations and/or the playback order of the animations in the animation queue based on the user operations to obtain an optimized animation queue. The method can optimize the animation queue pushed to users, thereby achieving better push effects.