Context-Aware Web Content Display via Geo-Location Deduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for influencing web site content display, particularly for business-to-business (B2B) enterprises, fail to effectively address the challenge of keywords with multiple meanings, leading to irrelevant advertisements and search results, resulting in poor economic returns for B2B companies.
Innovation Solution
A system and method that uses geo-location information to deduce a context for user interactions, influencing the display of web site content by selecting, arranging, and highlighting relevant content based on industrial density, time, weather, and regulations, ensuring that B2B companies receive better economic returns from their advertisements and search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If geo-location information is used to deduce user context and influence content display, then the relevance of advertisements and search results is improved, but the system complexity increases
Solution Approach 1:
The patent introduces a context deduction server as an intermediary component that receives geo-location information, deduces user context by considering multiple factors (industrial density, time, weather, regulations), and generates context information that influences content display. This intermediary handles the complexity of multi-factor analysis centrally, allowing the client system to remain relatively simple while achieving high content relevance through sophisticated context-aware filtering and ranking.
2Measurement precision
If multiple factors (industrial density, time, weather, regulations) are considered for context deduction, then the accuracy of user categorization is improved, but the processing time increases
Solution Approach 1:
The system pre-calculates and stores context information based on multiple factors (industrial density, time, weather, regulations) before actual content display requests. By performing context deduction in advance and caching the results, the system reduces real-time processing requirements while maintaining high user categorization accuracy when multiple factors are considered.
3Reliability
If context deduction is performed for every user interaction, then the appropriateness of content display is improved, but the computational resources consumed increase
Solution Approach 1:
The system applies context deduction selectively based on user location characteristics. By analyzing industrial density and other local factors, the system determines whether full context deduction is necessary for each user interaction. In locations where B2B relevance is high, comprehensive context analysis is performed; in other locations, simplified or cached context information is used, reducing overall computational resource consumption while maintaining content display appropriateness where it matters most.
Data Source
AI summary
A system uses geo-location information associated with a user's interaction with a web site portal to deduce a context for the user's interaction and then uses the deduced context to influence the display of web site content that is provided in response to the user's interaction. The context is deduced by considering one or more of an industrial density for a locale indicated by the geo-location information associated with the user's interaction, a current time for a locale indicated by the geo-location information associated with the user's interaction, a weather condition for a locale the geo-location information associated with the user's interaction, and a regulation for a locale indicated by the geo-location information associated with the user's interaction.