Electronic Apparatus Dynamic Recommendation Level Calculation
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Solution Overview
Problem
Existing image processing apparatuses in live channel mode do not effectively reflect user preferences in recommending broadcast content, leading to inconvenient selection and potential missed content due to fixed broadcast schedules.
Innovation Solution
An image processing apparatus that divides broadcast schedules into unit sections, calculates recommendation levels based on user viewing history, and displays a custom channel guide with selected programs, allowing users to easily access preferred content in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If broadcast content is recommended based on fixed EPG schedules, then the system maintains simple operation, but user preference reflection is poor and selection convenience deteriorates
Solution Approach 1:
The patent implements dynamic recommendation levels that are calculated in real-time based on user viewing history and current broadcast schedules. The recommendation level for each program is not fixed but dynamically adjusted according to user preferences, making the system adaptive rather than static. This resolves the contradiction by introducing dynamic calculation that improves user selection convenience without requiring complex manual configuration.
Solution Approach 2:
The system automatically calculates recommendation levels by analyzing user viewing history and current broadcast schedules without requiring user intervention. The electronic apparatus self-services by autonomously generating personalized recommendations, which improves ease of operation while the automation handles the complexity internally rather than exposing it to the user.
2Loss of time
If recommended content is provided through live channel mode, then the system maintains simple structure, but users may miss content already broadcasted or have to wait for later broadcasts
Solution Approach 1:
The system performs preliminary calculation of recommendation levels based on user viewing history before the user needs to select content. By pre-calculating which programs are most relevant to the user and organizing them by recommendation level, the system ensures that when users want to watch content, they can immediately access highly relevant programs without waiting for broadcasts or searching through irrelevant content. This reduces time loss while the preliminary calculation handles the complexity in advance.
3Loss of information
If the system provides detailed broadcast schedule information for multiple channels, then information completeness is improved, but information processing complexity increases
Solution Approach 1:
The patent segments the comprehensive broadcast schedule information into discrete programs, each with a calculated recommendation level. Instead of presenting all broadcast information uniformly, the system divides it into segmentable units (programs) that can be individually evaluated and ranked. This segmentation allows complete information to be processed systematically while reducing the perceived complexity for users through organized presentation by recommendation levels.
Solution Approach 2:
The system introduces a new parameter - recommendation level - that transforms raw broadcast schedule data into meaningful ranked information. By changing the parameter from simple program listing to scored recommendation levels based on user history, the system processes complete broadcast information while presenting it in a simplified, prioritized format that reduces processing complexity for both the system and user.
Data Source
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AI summary
An electronic apparatus including: a display; a signal receiver including circuitry configured to receive a broadcast signal; a processor configured to control the electronic apparatus to: obtain first information about a broadcasting schedule corresponding to a plurality of channels provided through the broadcast signal, determine a recommendation level of a program corresponding to a time unit section having a predetermined time length with regard to a plurality of programs of the plurality of channels based on the obtained first information, obtain second information about a broadcasting schedule of the programs selected based on the determined recommendation level among the plurality of programs, and process the broadcasting schedule of the selected programs to be displayed on the display based on the obtained second information.