External Device UI Mapping for Viewing-History Content Recommendations
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Solution Overview
Problem
Users experience low satisfaction with recommended content provided by content providers due to inadequate content recommendation based on user viewing history.
Innovation Solution
An electronic device with a memory to store recommended content information for external devices, a communication interface to connect with multiple content providers, and a processor to control the display of a user interface (UI) screen mapping recommended content information based on user history and device identification, enhancing content recommendation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content providers provide recommended content based on general algorithms, then content can be provided to multiple users, but user satisfaction is low due to inadequate personalization
Solution Approach 1:
The system segments users into different groups based on their viewing history and preferences stored in the memory. By dividing the user base into segments with similar characteristics, the electronic device can provide personalized content recommendations to each segment, improving adaptability while maintaining reliable user satisfaction through targeted content delivery.
Solution Approach 2:
The system performs preliminary actions by storing viewing history information and user preferences in memory before content recommendation is needed. This advance preparation of user data allows the electronic device to quickly retrieve and match appropriate content when a user requests recommendations, enabling both personalization and consistent user satisfaction without real-time processing delays.
2Measurement precision
If the electronic device stores and processes viewing history information for multiple external devices, then content recommendation accuracy improves, but device complexity increases
Solution Approach 1:
The electronic device acts as an intermediary between multiple external devices and content providers. It centralizes the storage of viewing history information and device identification data in its memory, simplifying the overall system architecture by having one device handle data aggregation and processing rather than requiring complex coordination between multiple devices. This intermediary role improves recommendation accuracy while managing complexity through centralized control.
Solution Approach 2:
The system creates and stores copies of viewing history information and device identification data in the electronic device's memory. By maintaining local copies of this data, the electronic device can perform accurate content matching without continuously querying external devices or servers, thereby improving recommendation precision while reducing the complexity of real-time data synchronization and processing.
3Adaptability or versatility
If the electronic device identifies external devices based on UI format information, then device-specific recommendations are enabled, but information processing complexity increases
Solution Approach 1:
The system utilizes UI format information as a distinctive identifier for each external device, similar to how color changes can identify different objects. By analyzing specific UI format characteristics displayed by external devices, the electronic device can automatically identify and differentiate between various devices, enabling device-specific content recommendations while keeping the detection process relatively simple through visual interface analysis.
Solution Approach 2:
External devices automatically provide their own identification information through their UI format, eliminating the need for complex manual device identification processes. The electronic device simply needs to analyze the UI format information that each external device presents, allowing devices to effectively identify themselves. This self-service approach enables device-specific recommendations while minimizing the processing complexity required for device identification.
Data Source
AI summary
An electronic device comprising a display; a memory to store recommended content information and a processor which: controls a communication interface to communicate with an external device that receives content from a plurality of content providers and provides the content to the electronic device; when a user command to display a UI screen including information on the external device is input, obtains recommended content information related to the plurality of content providers connected to the external device on the basis of information stored in the memory; and controls the display to display a UI screen to which the external device and the obtained recommended content information are mapped, where the information stored in the memory is obtained on the basis of viewing history information corresponding to the external device.