Context-Aware Mobile Ad Targeting via Communication Correlation
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Solution Overview
Problem
Location-based advertising often annoys consumers by presenting irrelevant advertisements, as it does not consider their interests or preferences.
Innovation Solution
A method and system that identify contexts associated with communications, correlate them with advertisements, and transmit relevant ads to users, using a server with a communication manager, correlation engine, and search engine to manage contexts and user profiles, ensuring ads are targeted based on context frequency and user interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If location-based advertising is used to present advertisements to consumers, then the advertising reach and delivery capability are improved, but the relevance of advertisements to consumer interests deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing communication data, user profiles, and context information before delivering advertisements. The server identifies contexts associated with communications and proactively determines relevant advertisements based on correlated context data, ensuring advertisements are prepared and matched to user interests before delivery, thereby maintaining both delivery capability and relevance.
2Measurement precision
If advertisements are transmitted based on consumer location, then the targeting capability is improved, but the consumer acceptance and reduced annoyance deteriorates
Solution Approach 1:
The system applies local quality by making advertisements highly specific to each user's local context, interests, and communication patterns. Rather than broadcasting generic location-based ads, the server analyzes individual user profiles and communication contexts to deliver personalized advertisements that are locally relevant to each user's interests, thereby improving targeting precision while reducing annoyance through relevance.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user responses, communication data, and context information. The server uses this feedback to refine advertisement selection and delivery timing, adjusting future advertisements based on user engagement patterns and context frequency, thereby reducing annoyance while maintaining effective targeting.
3Loss of information
If context correlation analysis is performed to identify relevant advertisements, then the advertisement relevance is improved, but the system complexity increases
Solution Approach 1:
The system uses an intermediary approach by introducing a server as a mediator between communication networks and advertisement delivery. The server performs context correlation analysis by querying correlation data and matching contexts with relevant advertisements, centralizing the complex analysis function. This intermediary structure manages system complexity by consolidating it in a dedicated server while maintaining high advertisement relevance through sophisticated context matching.
Data Source
AI summary
A method (200, 300) of managing mobile context and advertising over a communications network based on the context. The method includes identifying (204) a context (146, 152) associated with a communication sent to or received by a remote unit belonging to the user group of remote units. The method also includes determining (212) whether the identified context is associated with one or more advertisements by querying correlation data (144) to identify advertisements having context that correlates to the identified context. When the identified context is associated with one or more advertisements, the method includes transmitting (214) the one or more advertisements to at least one remote unit belonging to the user group.