Dynamic TV Guide Profile Adaptation
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Solution Overview
Problem
Users face inefficiencies in finding television content that matches their interests due to the sequential organization of channels in traditional TV guides, requiring extensive browsing and cumbersome search tools.
Innovation Solution
A personalized TV guide system that customizes listings based on user behavior, using a profile that updates dynamically based on accessed channels, genres, time preferences, and other factors, to prioritize content of interest at the top of the list.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If channels are organized sequentially in standard order, then the TV guide structure is simple and easy to maintain, but users must spend increasing time and energy browsing to find content matching their interests
Solution Approach 1:
The patent applies dynamics by transitioning from a static, fixed sequential channel arrangement to a dynamic, adaptive ordering system. The TV guide automatically reorganizes channel listings based on real-time user viewing behavior, preferences, and patterns. This dynamic reordering prioritizes channels and content that users are most likely to be interested in, reducing browsing time while maintaining system simplicity through automated adaptation rather than manual configuration.
2Productivity
If search tools are added to help users find content, then content discovery is improved, but the system becomes more complex and the tools become cumbersome
Solution Approach 1:
The patent implements self-service by enabling the TV guide system to automatically adapt and reorganize channel listings based on user viewing behavior without requiring active user input or complex search queries. The system monitors viewing patterns, learns user preferences, and autonomously adjusts the channel order to prioritize relevant content. This eliminates the need for cumbersome search tools while maintaining high content discovery efficiency through intelligent automation.
3Adaptability or versatility
If the TV guide is customized for each user, then user experience is enhanced, but the system complexity increases
Solution Approach 1:
The patent applies feedback by implementing a closed-loop system that continuously monitors user viewing behavior, analyzes patterns, and uses this information to automatically adjust channel listings. The system collects data on what users watch, how long they spend on each channel, and their viewing patterns, then feeds this information back into the ordering algorithm. This feedback mechanism enables continuous improvement of personalization without requiring complex manual configuration, as the system learns and adapts autonomously based on observed user behavior.
Data Source
AI summary
A system is configured to: receive identification information from a client device; identify a corresponding profile based on the identification information, where the corresponding profile is one of user profiles, device profiles, or generic profiles; generate a personalized television guide based on the corresponding profile, and transmit the personalized television guide to the client device.