Geolocation Ad Filtering Using Trajectory-Based Regions
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Solution Overview
Problem
Existing systems fail to effectively deliver targeted advertisements to users based on their proximity to businesses and personal interests, limiting the relevance and effectiveness of location-based marketing.
Innovation Solution
A system and method that utilizes geolocation technology to filter and transmit advertisements to user devices based on their physical proximity and trajectory, forming a geometric shape around the user to select and display relevant ads from a database, incorporating user profiles and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional advertising delivery systems are used, then advertisements can be transmitted to users, but the advertisements are not effectively targeted based on user proximity to businesses and personal interests
Solution Approach 1:
The patent applies local quality by filtering advertisements based on user location and trajectory, delivering different ads to different users based on their specific proximity to businesses. The system creates location-specific advertisement streams, ensuring that each user receives advertisements relevant to their immediate geographic context and movement patterns, thereby improving targeting precision while maintaining relevance information.
2Measurement precision
If location-based filtering is implemented, then advertisement relevance is improved, but system complexity increases due to trajectory analysis and geometric shape calculations
Solution Approach 1:
The patent applies preliminary action by pre-calculating geometric shapes (circles, polygons) representing regions of interest around businesses before users enter them. The system prepares trajectory filters and advertisement lists in advance, so that when a user's trajectory intersects with a pre-defined geometric shape, the relevant advertisements are already ready for immediate delivery. This reduces real-time processing complexity while maintaining high location-based targeting accuracy.
3Productivity
If trajectory-based filtering is used, then user engagement is enhanced, but data processing requirements and computational load increase
Solution Approach 1:
The patent applies the taking out principle by extracting only the essential trajectory data points needed for filtering - specifically, whether a user's trajectory intersects with predefined geometric shapes around businesses. Rather than processing complete trajectory paths or analyzing every movement detail, the system extracts and processes only the critical intersection events, thereby enhancing user engagement through targeted ads while reducing computational power requirements.
Data Source
AI summary
Aspects of the present disclosure relate generally to systems and methods for filtering data transmitted by a server to a user device of a user. In an aspect, a method includes storing an advertisements database that includes advertisements for each respective business from a subscriber database that includes location information of businesses. The method further includes receiving location information and trajectory information of the user. The method also includes representing, based on the location information of a business, a physical region of interest proximate to the business by a geometric shape. The method additionally includes filtering the advertisements database, to select for display to the user, at least one advertisement corresponding to the business, responsive to the trajectory of the user being within at least a portion the geometric shape. The method further includes transmitting the at least one advertisement to the user device.