Display Control System Using Selection Sequence for Content Diversity
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Solution Overview
Problem
Existing display control systems for digital broadcasting often recommend the same programs as relevant content based on the most recently viewed program, leading to a lack of diversity in suggested content.
Innovation Solution
A display control system that uses a server device to store content information and a display control device to create screens with relevant content based on the selection sequence of previously selected content, incorporating attribute classification and priority setting to optimize content recommendation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If relevant programs are extracted only based on the most recently viewed program, then the recommendation system is simple to implement, but the diversity of recommended content decreases
Solution Approach 1:
The system dynamically adjusts the basis for recommendation from a static single-most-recent-viewed-program approach to a dynamic sequence-based approach that considers multiple previously selected contents. This allows the recommendation to evolve and adapt based on user interaction history, improving diversity while maintaining manageable complexity through systematic processing of selection sequences.
Solution Approach 2:
The invention transitions from a one-dimensional recommendation basis (single most recent program) to a multi-dimensional approach by incorporating the sequence and pattern of multiple previously selected contents. This dimensional expansion enables richer recommendation diversity while the systematic analysis of selection patterns keeps the implementation complexity controlled.
2Ease of operation
If display information is tailored according to selection sequence, then user engagement increases, but processing complexity increases
Solution Approach 1:
The system performs preliminary analysis of the selection sequence to identify patterns and characteristics before generating recommendations. By pre-processing the selection history and extracting meaningful patterns in advance, the system reduces the complexity of real-time processing while enhancing user engagement through personalized recommendations based on analyzed selection patterns.
3Measurement precision
If attribute classification extraction is performed, then recommendation accuracy improves, but computational load increases
Solution Approach 1:
The system extracts only the essential attribute classifications from content information that are most relevant to recommendation accuracy. By selectively extracting only the necessary attributes rather than processing all possible content features, the system maintains high recommendation accuracy while reducing computational load and energy consumption.
Data Source
AI summary
Provided is a display control device including a display control unit that, when display information of one content among a plurality of contents is selected on a display screen, creates a next display screen containing display information of at least any of a plurality of contents relevant to the one content, wherein the display information contained in the next display screen is display information of contents according to a selection sequence of a plurality of display information having been selected before among the plurality of contents relevant to the one content.