Location Feature Index for Semantic Content Targeting
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Solution Overview
Problem
Current content delivery systems on computer networks struggle to effectively select and display relevant content to users based on geographic location, often relying on precise coordinates rather than broader semantic features of areas, which can lead to irrelevant advertisements and inefficient content placement.
Innovation Solution
A data processing system uses a location feature index to map geographic areas to non-geographic semantic keywords, allowing for the selection of content items that reflect general characteristics of locations, such as 'luxury' or 'vacation spot', rather than specific geographic features, enabling more relevant content delivery to users regardless of their precise location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content delivery systems use precise geographic coordinates for content selection, then location-specific content accuracy is improved, but content relevance to broader area characteristics deteriorates
Solution Approach 1:
The system segments geographic information into two distinct layers: precise coordinate data for location accuracy and semantic feature keywords for content relevance. This segmentation allows the system to use both precise coordinates and broader semantic characteristics simultaneously, resolving the contradiction between location precision and content adaptability.
Solution Approach 2:
The patent introduces semantic feature keywords as an intermediary between precise geographic coordinates and content selection. These keywords act as a bridge that translates location data into meaningful content categories, enabling the system to deliver content that is both location-accurate and contextually relevant without requiring exact coordinate matching.
2Measurement precision
If content delivery systems rely on precise geographic coordinates, then location-based targeting accuracy is improved, but system complexity increases
Solution Approach 1:
The system extracts and separates the semantic feature extraction functionality from the core content delivery mechanism. By pulling out the complex coordinate-to-content matching logic and replacing it with a simpler keyword-based semantic matching system, the patent reduces overall system complexity while maintaining targeting accuracy through the use of pre-defined semantic features.
3Adaptability or versatility
If content delivery uses broader semantic features instead of precise coordinates, then content relevance to area characteristics is improved, but location-specific targeting precision deteriorates
Solution Approach 1:
The patent merges precise coordinate-based targeting with semantic feature-based content selection into a unified system. Both approaches work together synergistically: precise coordinates identify the user's location, while semantic features determine the appropriate content category, achieving both location-specific precision and broader content relevance simultaneously.
Data Source
AI summary
Systems and methods of providing content for display on a computing device via a computer network using a location feature index are provided. A data processing system can receive a request for content from the computing device, and can determine a geographic location of the computing device associated with the request for content. The data processing system can identify a keyword indicating a non-geographic semantic feature of the determined geographic location. The identification can be based on the determined geographic location and from a location feature index that maps geographic areas to keywords that indicate non-geographic semantic features of the geographic areas. The data processing system can select, based on the keyword, a candidate content item for display on the computing device.