Gallery Web Page Classification for Search Result Presentation
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Solution Overview
Problem
Current search engines lack the ability to effectively differentiate and present gallery web pages, which are primarily image-based, leading to less relevant and engaging search results.
Innovation Solution
A method for classifying web pages as gallery or non-gallery pages by evaluating characteristics such as image presence, area coverage, and content type, generating a score, and applying predefined thresholds to determine classification, allowing for distinct search result formatting and presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If search engines treat all web pages uniformly, then the search system is simple to implement, but search result relevance and user engagement are reduced
Solution Approach 1:
The patent changes the parameter of web page classification by introducing a binary distinction between gallery web pages and non-gallery web pages. This classification parameter enables different search result presentation formats based on page type, improving relevance without requiring complete system redesign
Solution Approach 2:
The patent segments web pages into two categories (gallery and non-gallery) based on their content characteristics. This segmentation allows the search engine to apply different presentation rules to different segments, enhancing relevance while maintaining manageable system complexity
2Ease of operation
If search engines provide detailed previews for all web pages, then user engagement is improved, but information overload and reduced scanability occur
Solution Approach 1:
The patent applies local quality by providing enhanced preview features (image previews, thumbnail images, visual indicators) specifically for gallery web pages while maintaining standard preview format for non-gallery pages. This localized enhancement improves engagement for relevant results without overwhelming users with unnecessary details for all results
3Measurement precision
If search engines classify web pages manually, then classification accuracy is high, but processing time and scalability are reduced
Solution Approach 1:
The patent implements self-service classification by enabling web pages to be automatically categorized based on their inherent characteristics (presence of multiple images, image dominance). This automated self-classification achieves high accuracy while maintaining fast processing speeds and scalability, eliminating the need for manual intervention
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying web pages as gallery web pages, and for presenting search results for gallery web pages. In one aspect, a method includes receiving a web page that includes text and one or more images, evaluating one or more characteristics of the web page against predefined criteria, generating a score for the web page based on evaluating the characteristics of the web page against the predefined criteria, and classifying the web page as a gallery web page or as not a gallery web page when the score meets or does not meet a predefined threshold, respectively.