Ad Server Activity History Personalization
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Solution Overview
Problem
Current mobile wireless communication systems lack effective methods to personalize and target advertisements to users based on their geographical location and activity history, leading to inefficient ad delivery.
Innovation Solution
A communications system that includes a mobile wireless communications device and an advertising server, which generates an activity history using geographical positions and selectively sends advertisements based on the user's location, time of day, and activity type, such as work or vacation, using satellite positioning systems and cellular networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisements are sent to mobile devices without personalization, then advertisement delivery is simple and fast, but advertisement relevance and user engagement are low
Solution Approach 1:
The system performs preliminary actions by collecting geographical position data and generating activity history profiles before advertisement delivery. The advertising server builds user activity histories that capture patterns of movement and behavior, which are then used to personalize subsequent advertisement selections, enabling relevant ads to be delivered without real-time processing delays
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user geographical positions and activity patterns, then using this information to refine advertisement selection. The activity history serves as feedback that informs future advertisement personalization, creating a closed-loop system that improves relevance over time while maintaining delivery efficiency
2Loss of information
If advertisements are personalized based on activity history and location, then user engagement and ad relevance improve, but system complexity increases
Solution Approach 1:
The advertising server acts as an intermediary that centralizes the complex tasks of activity history generation and advertisement selection. Rather than distributing complexity across multiple components, the server consolidates the processing of geographical data, activity pattern recognition, and personalized ad selection in a single location, simplifying the overall system architecture
Solution Approach 2:
The system creates simplified copies of user behavior patterns through activity history profiles. Instead of processing raw geographical position data every time an advertisement needs to be delivered, the system generates condensed activity history representations that capture essential user preferences and patterns, enabling efficient personalized advertisement selection without repeating complex analysis
3Loss of information
If real-time location tracking is implemented for ad personalization, then advertisement relevance improves, but user privacy concerns and data security risks increase
Solution Approach 1:
The system extracts only the necessary information for advertisement personalization from complete location data. Rather than utilizing all raw geographical position information, the system extracts specific activity patterns and historical behaviors that are relevant to ad selection, leaving unnecessary detailed location information out of the processing pipeline, thereby reducing privacy risks while maintaining ad relevance
Data Source
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AI summary
A communications system may include at least one mobile wireless communications device and an advertising server cooperating with the at Least one mobile wireless communications device via a wireless communications network. The advertising server may be for generating an activity history for the at least one wireless communications device including geographical positions at corresponding times of day, and selectively sending advertisements to the at least one mobile wireless communications device based upon the activity history and a given time of day.