Dynamic EPG Reordering for VOD Navigation Efficiency
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Solution Overview
Problem
Existing digital TV systems face challenges in efficiently navigating and displaying vast amounts of video content on-demand, making it difficult for viewers to find relevant content among numerous options.
Innovation Solution
A method for dynamically adjusting the electronic program guide (EPG) by tracking viewer history and reordering category names based on relevance, allowing for faster navigation to preferred content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the EPG displays all video content categories in a fixed order, then the system structure is simple, but viewers spend excessive time navigating to find desired content
Solution Approach 1:
The EPG display dynamically reorders category names based on viewer selection history and preferences. The system continuously adapts the display order to match individual viewer behavior patterns, transforming the static display into a dynamic, personalized interface that reduces navigation time without requiring complex manual reconfiguration.
Solution Approach 2:
The system automatically learns and adapts to viewer preferences by tracking selection history. It self-adjusts the EPG display order without requiring user intervention or manual programming of preferences. The system serves itself by automatically optimizing the display based on observed user behavior patterns.
2Adaptability or versatility
If the EPG uses a standardized category ordering, then implementation is easy, but it cannot adapt to individual viewer preferences
Solution Approach 1:
The system implements a feedback loop where viewer selections are tracked and used to adjust the EPG display order. The feedback mechanism continuously monitors user behavior and automatically modifies the display to better match preferences, enabling the system to adapt to individual viewers while maintaining a relatively simple implementation framework.
Solution Approach 2:
The system performs preliminary actions by pre-sorting and pre-ordering category names based on predicted viewer preferences from historical data. This preliminary organization of content based on learned patterns reduces the need for real-time complex processing and simplifies the overall implementation while maintaining high adaptability.
Data Source
AI summary
Items of video content offered for viewing on a video-on-demand (VOD) platform of a digital TV service provider are each assigned a respective title and hierarchical address corresponding to hierarchically-arranged categories and subcategories within which the title for the video content is to be categorized. The title is listed in a location of an electronic program guide (EPG) using the same categories and subcategories as its hierarchical address. Any TV subscriber can access the EPG and navigate through its categories and subcategories to find a title for viewing on the TV. The EPG dynamically adjust its display listings of each level of categories, subcategories, and titles in order to minimize the number of remote control keypresses needed for a viewer to navigate to a title of interest. In one basic form, the EPG display is reordered by listing more frequently visited categories or subcategories first, and other less frequently visited categories or subcategories lower on the listing or out-of-sight on another page of the display.