Mobile Ad Delivery via Location and Interest Ranking
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Solution Overview
Problem
Existing mobile communication networks lack an effective method to deliver targeted advertisements to users based on their real-time geospatial location and interests, often prioritizing proximity over user preferences, leading to suboptimal advertising results.
Innovation Solution
A system that utilizes a mobile advertising service provider to deliver advertisements to users' devices based on their current geospatial location and defined interests, ranking listings and ads according to proximity and relevance, using data from user interactions and location tracking to prioritize user-preferred businesses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisements are delivered based on proximity to users, then business visibility is improved, but advertisement relevance to user interests deteriorates
Solution Approach 1:
The advertising system dynamically adjusts advertisement delivery by integrating real-time location data with user interest profiles. The system transitions from static proximity-based delivery to a dynamic model that continuously evaluates both spatial proximity and user preferences, allowing advertisement relevance to adapt as users move and their interests evolve.
Solution Approach 2:
The system changes the parameters of advertisement delivery by incorporating multiple weighting factors including distance, user interests, and engagement history. Instead of relying solely on proximity as a single parameter, the system modifies the delivery criteria to include composite scoring that balances spatial proximity with user preference alignment, thereby improving overall relevance.
2Measurement precision
If user location tracking is implemented, then advertisement targeting is improved, but user privacy concerns increase
Solution Approach 1:
The system introduces an intermediary layer that processes location data without exposing raw user location information to advertisers. The intermediary aggregates and anonymizes location data, delivering only the necessary targeting information while preserving user privacy. This mediator layer enables precise advertisement targeting while mitigating privacy concerns through data abstraction.
Solution Approach 2:
The system implements feedback mechanisms that allow users to control their location data sharing preferences. Users receive feedback about how their location data is being used and can adjust their privacy settings accordingly. This feedback loop empowers users to manage their privacy while still enabling effective advertisement targeting within their acceptable parameters.
Data Source
AI summary
Systems and methods are provided to transmit advertisements to users of mobile communications networks based, at least in part, on such users' real-time geospatial location and known interests. Advertisers transmit advertisements, such as directory listings, coupons, offers and promotions to a mobile advertising service. Each advertisement is associated with at least one geospatial location and at least one category. Users of mobile communication networks submit queries, via their mobile devices, to the mobile adverting service for advertisements relevant to the users' current geospatial location and interests. Advertisements meeting query criteria are selected and transmitted to the users' mobile devices.