Document Theme Pattern Recommendation via Content Analysis
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Solution Overview
Problem
Current methods for applying theme patterns to electronic documents are time-consuming and require manual selection or search, resulting in a lack of relevance to the document's content, which can lead to a suboptimal viewing or review experience.
Innovation Solution
A method and apparatus that detect triggers for theme pattern recommendation, identify the current document content, and provide automatically updated theme patterns based on the content, using image databases and machine learning models to match and rank relevant images and generate theme patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection or search methods are used to apply theme patterns, then the creator has control over the selection process, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system automatically analyzes document content and recommends theme patterns without requiring manual selection. The patent implements self-service by having the system perform content analysis, generate recommendations, and update themes automatically based on document changes, eliminating the time-consuming manual search and selection process while maintaining operational control through automated intelligence
Solution Approach 2:
The system pre-analyzes document content and prepares theme pattern recommendations in advance before the user needs them. By performing content analysis and generating theme recommendations proactively, the system eliminates waiting time during the document creation process, allowing users to quickly apply pre-prepared theme suggestions
2Device complexity
If manual theme pattern selection is used, then the process is simple, but the theme patterns lack relevance to the document content
Solution Approach 1:
The system continuously monitors document content changes and automatically updates theme pattern recommendations based on the current state. This feedback mechanism ensures that theme patterns remain relevant to the document content by analyzing content updates in real-time and adjusting recommendations accordingly, maintaining high relevance without requiring complex manual intervention
Solution Approach 2:
The patent replaces manual mechanical selection processes with automated content analysis and machine learning algorithms. By substituting human judgment with automated systems that analyze document content, keywords, and context, the system achieves high relevance between themes and content while maintaining operational simplicity through automation
3Productivity
If automatic theme pattern recommendation is implemented, then time is saved and relevance is improved, but the system complexity increases
Solution Approach 1:
The system implements a multi-functional platform that combines document content analysis, keyword extraction, image database searching, theme pattern generation, and automatic updates within a single integrated system. By making the system universal and capable of performing multiple functions through automated processes, it achieves high productivity and relevance while managing complexity through consolidation of functions into a unified automated architecture
Data Source
AI summary
The disclosure provides a method for recommending theme patterns of a document. In some embodiments, a trigger for providing theme patterns may be detected. Current content of the document may be identified. At least one theme pattern related to the current content of the document may be provided.