Link-Based Locale Identification for Domain Relevance
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Solution Overview
Problem
Current search engines struggle to accurately determine the relevance of domains and resources to specific geographical locales, often relying on static and potentially inaccurate data, which can lead to misleading search results for users.
Innovation Solution
A computer-implemented method and system for link-based locale identification, which detects indicators in resources that link to a domain, calculates link-based locale scores, and adjusts search result rankings based on the inferred locale of the user, using dynamic and static indicators to determine the relevance of domains and resources to particular locales.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search engines use static locale data to determine domain relevance, then the implementation is simple, but the accuracy of locale identification is poor
Solution Approach 1:
The patent transforms static locale data into dynamic indicators by analyzing link structures, traffic patterns, and user behavior in real-time. The system continuously updates locale scores based on current link data and user interactions, making the locale identification adaptive rather than fixed.
Solution Approach 2:
The patent introduces link-based indicators as intermediaries between domains and locales. Instead of directly associating domains with locales using static data, the system uses links from other domains as mediators to infer locale relevance, adding a layer of indirect evidence that improves accuracy.
2Reliability
If search engines rely on hostname and domain structure to infer locale, then the process is straightforward, but the reliability of locale determination is insufficient
Solution Approach 1:
The patent applies multiple indicator types (link-based indicators, traffic-based indicators, content-based indicators) that can serve different domains and locales universally. These multi-functional indicators can be applied across various search contexts and domain types, making the system more reliable through diversified evidence.
Solution Approach 2:
The system pre-calculates and stores locale scores and indicators for domains before search queries are submitted. This preliminary analysis of link structures and traffic patterns allows the search engine to quickly retrieve and apply pre-computed locale relevance data during actual search operations.
3Ease of operation
If search engines present all search results equally regardless of locale relevance, then the system is simple, but the user experience is degraded
Solution Approach 1:
The patent applies different ranking treatments to different search results based on their locale relevance scores. Results with high locale relevance to the user's inferred locale are promoted to higher positions, while less relevant results are demoted. This localized quality adjustment optimizes user experience for each user's specific context.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for link based locale identification for domains and domain content. In one aspect, a computer-implemented method includes identifying a plurality of domains including a first domain and one or more other domains, the other domains including one or more resources that link to the first domain. The method further includes detecting one or more indicators in the resources that link to the first domain, the indicators collectively identifying a number of locales. The method further includes determining one or more link based locale scores for the first domain using the indicators in the resources that link to the first domain. The method further includes storing the link based locale scores.