Media Delivery System Using Modular Data Segmentation
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Solution Overview
Problem
Existing methods fail to effectively capture and utilize user data from electronic devices, such as location, social network interactions, and device usage, leading to missed opportunities for personalized services and advertising.
Innovation Solution
A system comprising a data gathering module, profile management module, and media presentation module that collects spatial, temporal, and interaction data to create user profiles, allowing for targeted media delivery to mobile devices or other output devices based on user location, behavior, and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data gathering module collects comprehensive user data (spatial, temporal, interaction data), then user profile accuracy and media personalization improve, but device complexity and data processing requirements increase
Solution Approach 1:
The system segments data collection into three distinct modules: spatial data gathering (location tracking), temporal data gathering (time-based information), and interaction data gathering (user interactions). This segmentation allows comprehensive data collection while managing complexity through modular architecture, where each module handles specific data types independently before integration into the user profile.
2Loss of information
If user data is collected continuously including when device is idle, then data completeness improves, but energy consumption and processing load increase
Solution Approach 1:
The data gathering module operates periodically rather than continuously, collecting spatial, temporal, and interaction data at defined intervals and events. This periodic operation ensures comprehensive data capture while reducing energy consumption compared to continuous monitoring, as the system activates data collection only when needed based on predefined triggers or time schedules.
3Adaptability or versatility
If multiple types of data (spatial, temporal, interaction) are collected and integrated, then user profile comprehensiveness improves, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary data processing and organization as data is collected, preparing spatial, temporal, and interaction data for integration into the user profile before final media selection. This preliminary action reduces the computational burden during media delivery by having data pre-processed and organized, thereby reducing overall processing time while maintaining comprehensive user profiling.
Data Source
AI summary
Systems, methods and apparatus for collecting data and presenting media to a user are provided. The systems generally includes a data gathering module associated with an electronic device. The data gathering module communicates gathered data to a management module, which manages at least one user profile based on the gathered data. The management module may select media for presentation to a user based on the user profile, and the selected media may be displayed to the user via a media output device co-located with the user, such as a display of the user's mobile electronic device or a television, computer, billboard or other display co-located with the user. Related methods are also provided.