Sensor-Based Content Selection System for Mobile Devices
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Solution Overview
Problem
Current content selection systems in networked environments lack efficiency in selecting relevant third-party content items for user devices, as they do not effectively utilize device-specific sensor data to personalize content delivery, leading to suboptimal user engagement and advertising performance.
Innovation Solution
A content selection system that uses predictive models based on sensor data from user devices to select and serve content items, incorporating machine learning algorithms and historical data to determine the likelihood of user interaction, thereby optimizing content delivery based on device-specific conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensor data is collected and processed to personalize content delivery, then user engagement and relevance are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments the content selection process into distinct modules: sensor data collection, sensor data processing, candidate content filtering, and final content selection. Each module handles a specific aspect of the complex task, making the overall system more manageable and maintainable while achieving personalized content delivery
Solution Approach 2:
The patent introduces intermediary components including predictive models that act as mediators between sensor data and content selection, and filtering systems that bridge raw sensor information with candidate content items. These intermediaries simplify the relationship between complex sensor inputs and content output
2Productivity
If sensor data from mobile devices is utilized for content selection, then content relevance and click-through rates are improved, but user privacy concerns and data security requirements increase
Solution Approach 1:
The system extracts only the specific sensor data elements necessary for content selection (such as device orientation, motion state, and environmental context) while excluding personally identifiable information. This selective extraction approach maintains content personalization effectiveness while minimizing privacy intrusion
Solution Approach 2:
The patent applies different processing and protection levels to different types of data. Sensor data is processed locally on the device where possible, and only aggregated, anonymized metrics are transmitted to content selection systems, ensuring that sensitive information remains protected while still enabling personalization
3Measurement precision
If multiple candidate content items are filtered and selected based on sensor data, then content accuracy and user engagement are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary filtering of content items based on basic criteria before applying sensor data-based selection. Candidate content items are pre-processed and organized into categories, and predictive models are pre-computed, so that when sensor data arrives, the system can quickly match it against prepared content options rather than evaluating all content from scratch
Solution Approach 2:
The patent implements a multi-stage filtering process where not all candidate content items undergo full sensor data analysis. Instead, a first filter quickly eliminates obviously unsuitable content, and only the remaining candidates undergo comprehensive sensor-based evaluation, reducing overall processing time while maintaining accuracy
Data Source
AI summary
A method includes receiving, from a device, a request for content for presentation on the device, and receiving selection criteria for a plurality of candidate content items. The selection criteria define one or more operating system types on which the plurality of candidate content items are to be displayed. The method further includes selecting the plurality of candidate content items based on an operating system type of the device and the selection criteria, determining a value from a sensor of the device, and selecting, based on the value from the sensor, a content item from the plurality of candidate content items. The method further includes providing the content item for presentation on the device.