Automated Multi-Page Publication Layout With Recursive Greedy Scoring
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Solution Overview
Problem
Existing computerized and automated publication layout systems are computationally complex and time-consuming, often resulting in suboptimal layouts due to the complexity of multi-objective optimization problems, and they fail to efficiently handle the layout of multi-page publications with varying content types and sizes under tight deadlines.
Innovation Solution
An automated multi-page publication layout system using a recursive greedy algorithm to optimize content placement on each page, considering layout parameters and rules, and employing a series of fit scores to balance optimization and computational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If automated multi-page publication layout systems use complex multi-objective optimization algorithms to optimize content placement, then layout quality improves, but computational complexity and processing time increase
Solution Approach 1:
The system segments the multi-page publication layout problem into independent per-page optimization problems. Each page is processed separately using a greedy algorithm that makes locally optimal content placement decisions, avoiding the need for complex global multi-objective optimization across all pages simultaneously. This segmentation maintains layout quality while dramatically reducing computational complexity.
Solution Approach 2:
The system applies partial optimization by focusing on optimizing each individual page's content placement independently rather than attempting to optimize all pages globally. The greedy algorithm performs sufficient optimization at the page level to achieve high layout quality without the excessive computational requirements of global optimization.
2Manufacturing precision
If automated publication layout systems consider all possible content configurations and presentation rules, then layout optimality improves, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-defining valid canvas layouts, content configurations, and presentation rules before the actual layout generation. The greedy algorithm then efficiently evaluates these pre-defined options rather than generating and evaluating all possible configurations from scratch, significantly reducing processing time while maintaining layout optimality.
3Manufacturing precision
If manual publication layout processes are used to achieve optimal content arrangement, then layout quality improves, but time consumption increases
Solution Approach 1:
The system implements self-service by using automated greedy algorithms that independently make optimal content placement decisions for each page without human intervention. The algorithm evaluates content importance, fits articles to appropriate canvas layouts, and arranges elements according to presentation rules automatically, achieving layout quality comparable to manual processes while dramatically increasing productivity.
Data Source
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AI summary
The present disclosure provides an automated multi-page publication layout system and related methods. For a given page, one or more content items, a configuration for each of the selected content items, and a canvas layout are selected. A page configuration is generated by populating the selected canvas layout with the selected content items in the selected configuration. A fit score for the page variation is determined based on a set of rules that measure 2D packing efficiency and compliance with a plurality of presentation rules. This process is repeated for each configuration each canvas layout for the selected page. A page configuration having the highest fit score is selected for the selected page. The process is repeated for each page in the layout. A completed publication layout is output to a publisher system for publication, the publisher system publishing the multi-page publication.