Image Search Landing Page Selection via Web Score Ranking
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Solution Overview
Problem
Existing image search systems often reference multiple low-quality landing pages for duplicate and near-duplicate images, failing to provide users with the highest quality context for their informational needs.
Innovation Solution
A method that identifies and selects the highest quality landing page for each image by scoring web pages using a ranking algorithm, grouping similar images, and determining the web page with the highest importance score to provide a unified and relevant context for search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image search systems reference multiple landing pages for duplicate and near-duplicate images, then the quantity of search results increases, but the quality of context provided to users deteriorates
Solution Approach 1:
The patent merges multiple landing pages associated with duplicate and near-duplicate images into a single representative landing page. By identifying groups of similar images and selecting one representative image per group, the system consolidates multiple search result entries that would otherwise point to different landing pages, thereby maintaining result quantity while improving context quality through unified, high-quality landing page selection.
Solution Approach 2:
The system changes the selection parameter from arbitrary or random landing page selection to quality-based selection using web page ranking scores. By evaluating landing pages based on their ranking algorithms and selecting only those with scores above a threshold, the system transforms the selection criterion from quantity-oriented to quality-oriented, resolving the contradiction between maintaining search result quantity and improving context quality.
2Reliability
If the system selects landing pages using web page ranking scores, then the quality and relevance of landing pages improve, but the complexity of the selection process increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing web page ranking scores before the actual image search and landing page selection process. By having these scores readily available in advance, the system avoids complex real-time evaluations during search operations, thereby improving landing page quality through score-based selection while reducing the operational complexity of the selection process.
Solution Approach 2:
The patent introduces web page ranking scores as an intermediary metric that mediates between the complex evaluation of landing page quality and the simple selection process. Instead of directly comparing multiple complex factors of landing page quality, the system uses the pre-computed ranking score as an intermediate representation, simplifying the selection process while maintaining high quality standards.
3Measurement precision
If the system processes and scores multiple web pages for each image, then the accuracy of landing page selection improves, but the processing time increases
Solution Approach 1:
The system performs the time-consuming web page scoring and ranking process in advance, before actual image searches are executed. By pre-processing and storing the quality scores of potential landing pages, the system achieves accurate landing page selection during search operations without incurring the time penalty of real-time analysis, thereby resolving the contradiction between selection accuracy and processing time.
Data Source
AI summary
Methods, systems, and apparatus for identifying landing pages for images. In one aspect, a method includes, for each image of a plurality of images, identifying web pages that each include the image, and, for each of the web pages, receiving a web score generated by a ranking algorithm. The web page having a web score indicating a highest importance relative to other web pages is selected, sets of similar images are determined from the images included in the selected web pages, and each set of similar images includes different images. For each set of similar images, an image is selected based on the selected web page that includes the selected image having a highest web score of the set, and the selected web page that includes the selected image is identified as a landing page for an image search result.