Media Content Summaries Matched to Pre-Broadcast Viewing Time
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Solution Overview
Problem
The increasing volume of available media assets makes it difficult for users to choose what to watch, and existing systems fail to provide timely and relevant summaries of upcoming content, especially during live broadcasts, leading to missed start times.
Innovation Solution
A media content system dynamically generates and ranks content summaries based on user availability and preferences, ensuring summaries are shorter than the available time before a broadcast, incorporating scores that consider duration, linearity, and user preferences, allowing seamless transitions between summaries and live viewing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If content summaries are provided before live broadcast, then users have time to watch summaries, but summaries may exceed the available time before broadcast
Solution Approach 1:
The system dynamically adjusts summary duration based on the time available before the live broadcast. The media content system calculates the time window between when the user becomes available and the broadcast start time, then selects or generates summaries that fit within this dynamic time constraint, ensuring summaries are never longer than the available viewing window.
Solution Approach 2:
The system changes the temporal parameter of the summary by selecting from multiple pre-generated summaries of varying lengths or by generating summaries with adjusted durations. This parameter adjustment ensures the summary duration adapts to match the available time before broadcast, preventing time overflow while maintaining sufficient content information.
2Adaptability or versatility
If multiple content summaries are provided, then users have more choices, but it becomes difficult for users to choose what to watch
Solution Approach 1:
The system segments the content selection process into two stages: first presenting a curated subset of top-ranked summaries, then allowing user selection from this reduced set. The scoring mechanism segments and filters the large pool of possible summaries based on multiple criteria (linearity, user preferences, time availability), presenting only the most relevant options to the user.
Solution Approach 2:
The system incorporates user profile feedback and viewing history to personalize the summary ranking. By analyzing user preferences and past behavior, the scoring mechanism dynamically adjusts which summaries are presented first, making the selection process more intuitive and reducing user effort in choosing what to watch.
3Productivity
If summaries are generated using readily available content, then summary generation is faster, but summary quality may be reduced
Solution Approach 1:
The system performs preliminary actions by pre-generating multiple content summaries from readily available content before the user needs to watch. These pre-generated summaries are stored and can be quickly retrieved and ranked. When a user becomes available, the system already has a pool of ready-to-present summaries, eliminating the need for real-time generation and allowing for quality filtering based on user preferences and time constraints.
Data Source
AI summary
Systems and methods are disclosed to provide one or more content summaries for one or more media assets, wherein it is determined that consumption associated with a profile of a media asset will begin at a first time and at a second time that is a period of time prior to the first time, it is caused to be provided one or more content summaries for the one or more media assets, wherein the one or more content summaries are selected based at least on a duration of the content summary, such that a duration of the content summary is not greater than the period of time.