Customized Channel Aggregating Multi-Source Programming
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Solution Overview
Problem
Users face frustration in finding and navigating through numerous television channels and sources to locate programming that matches their interests, leading to excessive time spent searching rather than watching content.
Innovation Solution
A customized channel is generated based on user preferences and viewing habits, aggregating relevant programming from various sources such as broadcast stations and internet sources, allowing users to access pertinent content without channel changes or searches, using a television receiver with a channel engine and processor-readable instructions to schedule and update content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users navigate through hundreds of broadcast channels and sources to find desired programming, then they can locate content matching their interests, but they spend excessive time searching and navigating instead of watching content
Solution Approach 1:
The patent merges multiple broadcast channels and programming sources into a single customized channel that aggregates content from hundreds of different sources. The channel engine combines programming from multiple channels, on-demand sources, and internet television into one unified interface, eliminating the need for users to navigate through numerous channels separately.
Solution Approach 2:
The channel engine acts as an intermediary between the vast array of available programming sources and the user. It automatically selects and schedules content from multiple sources based on user preferences, serving as a mediator that translates user interests into curated programming without requiring manual channel surfing.
2Adaptability or versatility
If a customized channel aggregates programming from multiple sources, then user viewing experience is enhanced, but the system complexity increases
Solution Approach 1:
The channel engine operates autonomously to manage the complexity of aggregating and scheduling content from multiple sources. It automatically monitors user preferences, selects appropriate programming, schedules content without manual intervention, and dynamically adjusts the customized channel based on viewing habits, freeing users from managing the system's complexity.
Solution Approach 2:
The system performs preliminary actions by pre-configuring the customized channel with scheduled programming based on user preferences before the user needs to watch. The channel engine proactively selects and schedules content in advance, organizing programming from multiple sources into a ready-to-view format without requiring real-time user decisions.
3Measurement precision
If the system schedules multiple programming options for the same time slot, then user preference accuracy is improved, but the scheduling complexity increases
Solution Approach 1:
The system implements feedback mechanisms where user selections and viewing behavior are continuously monitored and fed back to the channel engine. When users choose between multiple programming options presented in the same time slot, this feedback refines the understanding of user preferences, allowing the system to improve its content selection accuracy over time.
Data Source
AI summary
Various arrangements generating a customized channel are presented. A customized channel may be generated for a user. The programming for the customized channel may be gathered from different sources. The programming may be selected and scheduled based on user preferences, interests, and viewing habits of the user. The user viewing habits and preferences for programming may be used to refine the schedule and programming of the customized channel.