Interactive Programming Guide Personalized Lineup
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Solution Overview
Problem
Users of televisions and media content devices face a time-consuming and often fruitless experience while browsing for content due to the presence of irrelevant media, leading to a negative user experience.
Innovation Solution
An interactive programming guide with a personalized lineup is provided, based on user profiles that include demographic information and viewing history, recommending relevant media content for current and upcoming time slots, and allowing users to modify the lineup through user interactions, ensuring that the most relevant content is displayed prominently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional programming guides display all available media content, then users have access to comprehensive content options, but users must navigate through irrelevant content which increases time consumption and reduces user satisfaction
Solution Approach 1:
The patent extracts and removes irrelevant media content from the programming guide display, showing only content that matches user preferences and criteria. This extraction process filters out unnecessary content while preserving relevant options, directly reducing browsing time without sacrificing useful content availability.
Solution Approach 2:
The programming guide applies local quality by customizing the display to match individual user preferences, demographics, and viewing history. Different users see different content recommendations, making the guide tailored to each user's needs rather than a uniform display of all content, thereby reducing the time each user spends browsing.
2Quantity of substance
If the programming guide displays all media content regardless of user preferences, then comprehensive content is available, but user experience becomes negative due to irrelevant content
Solution Approach 1:
The system implements local quality by personalizing the programming guide for each user based on their demographic information, viewing history, and expressed preferences. This creates a customized experience where the guide displays content most likely to interest each user, significantly improving ease of operation and user satisfaction.
Solution Approach 2:
The programming guide performs self-service by automatically learning and adapting to user preferences through analysis of viewing history and demographic data. The system autonomously curates content recommendations without requiring manual user configuration, making the guide increasingly effective at delivering relevant content over time.
3Ease of operation
If the programming guide uses personalized recommendations based on user profiles, then relevant content is prioritized, but the system complexity increases due to profile management and content selection algorithms
Solution Approach 1:
The system uses self-service by having the programming guide automatically manage user profiles and generate recommendations through algorithms that analyze viewing history and demographic information. This automated approach handles the complexity of profile management and content selection without requiring manual user input, maintaining high content relevance while managing system complexity through automation.
Solution Approach 2:
The programming guide implements feedback mechanisms that continuously learn from user interactions and adjust recommendations accordingly. By analyzing user feedback (viewing behavior, preferences, and demographics), the system refines its algorithms to improve content relevance, managing complexity through iterative improvement based on actual user feedback.
Data Source
AI summary
Techniques of providing an interactive programming guide with a personalized lineup are disclosed. In some embodiments, a profile is accessed, and a personalized lineup is determined based on the profile. The personalized lineup may include a corresponding media content identification assigned to each one of a plurality of sequential time slots, where each media content identification identifies media content for the corresponding time slot. A first interactive programming guide may be caused to be displayed on a first media content device associated with the profile, where the first interactive programming guide includes the personalized lineup.