Automated Local Content Discovery via Geographic Context Analysis
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Solution Overview
Problem
Traditional Internet search engines struggle to effectively index and rank local content, often burying it due to fewer external links, making it difficult for users to discover relevant local information.
Innovation Solution
A system, method, and computer program product that utilizes geographic information, web crawling, and machine learning to create self-editing content streams, automatically discovering and curating local content by learning the 'local flavor' and generating content based on learned place interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional search engines index and rank content based on general mathematical properties and external links, then the search engine can handle large volumes of internet content, but local content is buried and becomes inaccessible to users
Solution Approach 1:
The patent segments the content ranking system into multiple components: traditional link-based ranking, geographic location analysis, and local relevance scoring. By dividing the ranking process into these segments, local content can be evaluated separately from general internet content, preventing it from being buried in the rankings despite having fewer external links.
Solution Approach 2:
The patent applies local quality by creating location-specific ranking criteria that differ from general web content evaluation. Local content is assessed based on geographic relevance, local entity associations, and regional user interests, allowing it to achieve high visibility in local search results even when it lacks the external link volume of major websites.
2Measurement precision
If search engines provide geographically targeted search results by geo-locating users, then local content can compete better against internet-wide content, but users still have to guess the best search terms and data is presented as disconnected items
Solution Approach 1:
The system performs self-service by automatically detecting user location, identifying relevant local content, and organizing results without requiring users to guess search terms. The patent implements automated content discovery that actively seeks out local information based on user geographic context, eliminating the need for users to manually craft location-specific queries.
Solution Approach 2:
The patent introduces an intermediary layer between the user and search results that automatically processes geographic context and content relevance. This intermediary system translates user location into targeted content queries and presents organized, connected local information, bridging the gap between geographic targeting and user-friendly presentation.
3Measurement precision
If the system creates automated content discovery and curation for local areas, then users can access highly relevant local content, but the system complexity increases significantly
Solution Approach 1:
The patent implements a universal content analysis engine that handles multiple functions: geographic location detection, content relevance scoring, local entity recognition, and result organization. By creating a multi-functional system core, the patent reduces overall complexity compared to having separate specialized systems for each function, while still achieving high local content relevance.
Data Source
AI summary
Various methods are provided for determining and displaying local content. One example method may comprise receiving input to open a mobile application at a mobile device, and without any additional input, accessing a location service of the GPS enabled mobile device to determine a GPS location and automatically generating a query, the query comprising the GPS location, identifying a predefined mix of content from a content index in accordance with an editing target, wherein the editing target specifies a number of articles and wherein the predefined mix indicates a portion of the editing target directed to at least one category, determining whether the editing target and the predefined mix are met, determining a new location, the new location being larger in geographic area and containing the location, in an instance in which the editing target and the predefined mix are not met, and displaying the results.