Automated Website Generation Using Industry Feature Aggregation
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Solution Overview
Problem
Current website design and launch processes are complex, time-consuming, and costly, requiring users to navigate multiple steps for domain registration, website design, and service configuration, often resulting in user error and limited customization options, which deters businesses from establishing an online presence.
Innovation Solution
A system of server computers configured to store and aggregate industry-specific website data records, query databases for frequently occurring website features, and automatically generate websites tailored to user profiles, industries, and demographics, using data entry and extraction methods to concatenate relevant text and images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated website generation is implemented, then ease of operation is improved, but manufacturing precision deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-tagging website data records with attributes for content, layout, and style before the generation process. Industry-specific templates and design elements are prepared in advance, allowing the automated system to assemble websites efficiently while maintaining quality through pre-validated design patterns.
Solution Approach 2:
The system changes parameters by allowing users to modify template attributes after automatic generation. Users can adjust design parameters, content preferences, and styling options to achieve the desired customization level, bridging the gap between automated efficiency and manual precision.
2Manufacturing precision
If manual website design process is used, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The system uses copying by implementing industry-specific templates that replicate successful website designs from each industry. These pre-designed templates capture proven layouts, color schemes, and content structures, allowing rapid website generation that inherits the quality of professionally designed industry standards without requiring manual design work.
Solution Approach 2:
The system achieves universality by creating multi-functional templates that can serve multiple industries with minimal modification. The tagged data records and modular design elements can be reused across different industries, reducing development time while maintaining industry-specific appropriateness through parameter adjustment.
3Adaptability or versatility
If comprehensive website customization options are provided, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system applies segmentation by dividing website design into distinct tagged categories: content, layout, and style. Each category contains specific attributes that can be independently selected and customized. This segmentation allows comprehensive customization options while managing complexity through organized, modular design elements that can be assembled systematically.
4Adaptability or versatility
If industry-specific data aggregation is performed, then adaptability is improved, but loss of information increases
Solution Approach 1:
The system implements feedback by allowing users to review and provide input on the automatically generated website. Users can indicate preferences for specific design elements, content types, or styling options, and the system uses this feedback to refine the generation process. This feedback loop ensures that industry-specific data aggregation produces results that accurately reflect user needs while maintaining high data quality.
Data Source
AI summary
Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: store data records associated with an industry, with tags defining the content, layout or style of a website; aggregate industry related data records via data entry or extraction; receive a request to automatically generate a website in a specific industry; query a database for the most frequently occurring website features; and automatically generate the website according to the most frequently occurring website features.