Search Engine Resource Attribute Determination from Address Locators
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Solution Overview
Problem
Search engines face challenges in distinguishing between substantively duplicative or similar resources hosted on the same domain, leading to redundant search results that obscure unique resources and degrade user experience, as the targeting purpose of these resources is often not explicitly identified and cannot be reliably inferred from resource locators.
Innovation Solution
The method involves determining resource attributes from address attributes of resource locators, comparing these attributes to user attributes, and promoting or demoting search results based on alignment, thereby grouping similar resources and reducing redundancy in search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search engines return all resources from a domain, then the quantity of search results increases, but the quality of search results degrades due to redundant duplicative resources
Solution Approach 1:
The patent segments search results by determining resource attributes (such as language, country, or user-agent targeting) from address attributes of resource locators. Resources are divided into distinct groups based on their targeting attributes, allowing the search engine to present diverse, non-redundant results while maintaining quantity. This segmentation prevents duplicative resources from dominating the results while preserving the overall volume of useful information.
2Adaptability or versatility
If search engines include resources with similar resource locators, then the coverage of domain resources improves, but the user experience degrades due to redundancy
Solution Approach 1:
The patent applies local quality by analyzing specific portions of resource locators (address attributes) to determine targeting characteristics of individual resources. Instead of treating all resources uniformly, the system evaluates each resource's address attributes (such as country codes, language codes, or path structures) to assign specific targeting attributes. This allows comprehensive coverage of domain resources while presenting only relevant, non-redundant results to each user based on their local context and needs.
3Device complexity
If search engines do not analyze resource locator structure, then the processing complexity is reduced, but the ability to identify resource targeting is lost
Solution Approach 1:
The patent implements partial action by focusing analysis only on specific address attributes within resource locators rather than examining the entire locator structure in detail. The system identifies and analyzes only the portions of resource locators that contain targeting information (such as country codes, language codes, or specific path segments), while treating other portions as generic. This selective analysis maintains measurement precision for targeting identification while keeping processing complexity manageable through targeted rather than exhaustive examination.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining resource attributes from site address attributes. In one aspect, a method includes resource attributes of resources addressed by the resource locator and address attributes of the resource locators, determining a set of similar resource locators from the address attributes of the resource locators, comparing the address attributes of the resource locators in the set of similar resource locators to the resource attributes of the resources addressed by the resource locators in the set of similar resource locators, and determining, based on the comparison, likelihoods that the address attribute of the resource locators in the set of similar resource locators indicates resource attributes of the resources.