Complex publication derivative resource content layout planning system driven by graph calculation

The layout planning system driven by graph computing solves the shortcomings of traditional layout planning systems in multi-dimensional content association and personalized needs, realizes efficient, unified and personalized layout of complex publication derivative resources, supports cross-terminal display and interaction, and adapts to user needs.

CN120688341APending Publication Date: 2025-09-23DATA TRANSMISSION GRP
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Patent Information

Application Number
CN202510676998.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-26
Publication Date
2025-09-23

AI Technical Summary

Technical Problem

Traditional layout planning systems are unable to efficiently handle multi-dimensional content associations, dynamic updates, and personalized needs, and are unable to meet the structured layout requirements of complex publication-derived resources.

Method used

A complex publication-derived resource content layout planning system driven by graph computing is used, including multimodal data analysis, feature fusion, content relationship modeling, graph computing-driven layout optimization, layout constraint modeling, multi-terminal adaptive rendering and interactive feedback modules. Community detection and layout optimization are performed through a graph computing framework, and real-time adjustments are made based on user interaction feedback.

Benefits of technology

It achieves a high degree of unity between content logic and spatial layout, supports cross-terminal display consistency and interactive fluency, reduces computational complexity and resource consumption, and adapts to users' personalized needs.

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Abstract

The invention discloses a graph calculation-driven complex publication derivative resource content layout planning system, which belongs to the technical field of digital publication and intelligent media, and comprises a multi-modal data analysis module for analyzing heterogeneous data such as texts, images, tables and the like in publications into structured node features; a feature fusion module; a content relationship modeling module; a graph calculation driving layout optimization module; performing layout constraint modeling: converting a layout problem into a graph constraint optimization problem; a modeling optimization module; a multi-terminal adaptive rendering module; the layout generation engine is used for converting a graph calculation result into a visual layout scheme; and the interactive feedback module is used for feeding back user operation to the graph in real time to trigger layout reconstruction. According to the method, advanced technologies such as graph calculation, multi-modal fusion and constraint solution are deeply fused, the limitation that a traditional typesetting tool depends on a fixed template is broken through, and a content-driven one-stop solution is provided for scenes such as academic periodicals, electronic textbooks and digital reports.
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