IoT Ad Selection Using Client-Side Content Insertion
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Solution Overview
Problem
IoT devices lack effective methods to personalize and deliver relevant advertisements and social content to users based on data generated from their operations, leading to inefficient communication and user engagement.
Innovation Solution
A method where client devices receive data from IoT devices, select and add advertisements and social content to user content, using this data to personalize and enhance user experiences through real-time analysis and integration with content delivery systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If IoT devices generate and transmit operational data to data processing systems, then advertisement personalization and user engagement are improved, but data processing complexity and system resource requirements increase
Solution Approach 1:
The system segments the data processing functionality across multiple components: IoT devices generate operational data, client devices receive and process advertisements locally, and data processing systems select advertisements based on IoT data. This segmentation distributes complexity rather than concentrating it in a single system.
Solution Approach 2:
The data processing system pre-selects advertisements based on IoT device operational data before delivering them to client devices. This preliminary action reduces the processing burden on client devices, as the heavy lifting of advertisement selection and personalization is performed in advance by the data processing system.
2Adaptability or versatility
If advertisements are selected and delivered based on real-time IoT device data, then user engagement and relevance are improved, but data transmission and processing time increase
Solution Approach 1:
The data processing system performs advertisement selection in advance based on available IoT operational data, delivering pre-selected advertisements to client devices before real-time user interactions occur. This eliminates the need for time-consuming real-time processing during user sessions.
Solution Approach 2:
The system creates copies of advertisement data from the data processing system to client devices, where local processing and display occur without requiring continuous real-time communication with the central system. This copying approach reduces transmission time and enables faster local delivery.
3Ease of operation
If client devices process and integrate advertisements with user content locally, then user experience and engagement are improved, but device computational load and energy consumption increase
Solution Approach 1:
The data processing system performs the computationally intensive advertisement selection and personalization in advance, delivering ready-to-display advertisement data to client devices. This shifts the computational load from energy-constrained client devices to more powerful server infrastructure.
Solution Approach 2:
Advertisement data is copied from the data processing system to client devices for local integration with user content. The client device performs minimal processing to integrate these copied advertisement copies with existing content, rather than generating or heavily processing advertisement data locally.
Data Source
AI summary
A client device can receive, from a data processing system, first data, the first data selected by the data processing system based on second data generated by at least one IoT device with which the client device is associated, and the first data indicating at least one advertisement. The client device can access the at least one advertisement using the first data indicating the at least one advertisement. The client device can add the at least one advertisement to the content accessed by the client device. The client device can present the content with the at least one advertisement added to the content.