Location Category Classification for Ad Targeting
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Solution Overview
Problem
Advertisers face challenges in effectively targeting users with advertisements, as existing systems lack the ability to accurately classify locations based on user interests and deliver relevant content items, such as ads, to users in specific geographic regions.
Innovation Solution
A method that involves receiving data from users within a geographic region, analyzing this data to derive categories associated with the location, and using these categories to boost the delivery of relevant content items, such as ads, by applying weights to their scores based on category matches, ensuring that ads are served to users who are likely to be interested in the content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advertisers use general location-based ad delivery without category classification, then ad delivery is simple and fast, but ad relevance to user interests is low
Solution Approach 1:
The patent segments locations into distinct categories (e.g., commercial, residential, entertainment) based on user data analysis. This segmentation enables precise ad targeting by matching ads to location categories rather than treating all locations uniformly, thereby improving measurement precision while managing complexity through systematic classification.
Solution Approach 2:
The system performs preliminary analysis of user data to derive location categories before ad delivery. By pre-classifying locations and storing category information, the system avoids complex real-time analysis during ad serving, thus improving classification accuracy without proportionally increasing operational complexity.
2Adaptability or versatility
If the system analyzes user data from all locations uniformly, then data processing is simple, but location-specific ad relevance is reduced
Solution Approach 1:
The patent applies local quality by deriving specific location categories that reflect the unique characteristics of each geographic area. Instead of uniform data processing, the system analyzes user data locally for each location to identify category-specific patterns, enabling adapted ad targeting that matches local user interests while maintaining manageable complexity through focused analysis.
3Productivity
If the system serves ads based on exact location matching only, then ad delivery is efficient, but ads may not reach users with specific interests in that location
Solution Approach 1:
The patent introduces location categories as an intermediary layer between exact location matching and ad selection. This intermediary enables the system to maintain efficient location-based delivery while improving reliability by using category information to filter and rank ads, ensuring that delivered ads are both geographically relevant and interest-aligned with users in that location.
Data Source
AI summary
This specification describes technologies relating to content presentation. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving data from a plurality of users within a geographic region associated with a location; analyzing the received data to derive a category for the location; annotating the location with the category; and using the category to boost candidate content items for delivery to users in the location in response to future content item requests.