Content Summaries Ranked by Available Time Before Broadcast
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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 information about upcoming media content during prime time viewing, leading to missed broadcasts.
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 broadcast, incorporating scores that consider duration, linearity, and user history to optimize viewing choices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If content summaries are provided before prime time, then users have time to watch summaries and make viewing decisions, but the summaries must be shorter than the available time to ensure users don't miss the broadcast start
Solution Approach 1:
The system dynamically adjusts content summary duration based on the available time before prime time. The media content system determines the second time based on user profile input indicating availability, and selects content summaries where the duration is not greater than the period of time available, making the summary length adaptive rather than fixed
Solution Approach 2:
The system changes the time parameter of content summaries dynamically. By determining the period of time available before prime time and selecting summaries with appropriate durations, the system optimizes the timing parameter to ensure users have sufficient viewing time without missing the broadcast
2Adaptability or versatility
If multiple content summaries are provided for upcoming media assets, then users have more viewing options, but it becomes harder for users to choose what to watch
Solution Approach 1:
The system uses user profile information as feedback to personalize content summary selection. By determining content summaries based on user profile preferences and viewing history, the system filters and ranks summaries to present the most relevant options, making the choice easier despite having multiple possibilities
Solution Approach 2:
The system segments the content library into multiple summaries for different media assets, each with associated scores. This segmentation allows the system to present organized, ranked options rather than an unmanageable list, helping users navigate their viewing choices systematically
3Productivity
If content summaries are generated using readily available content from previous episodes, then the summaries can be produced quickly before prime time, but the summaries may not fully capture the importance of sequentiality in series
Solution Approach 1:
The system performs preliminary action by generating content summaries before prime time using readily available content from previous episodes. This advance preparation ensures quick summary generation while the scoring system later refines the selection to account for sequentiality importance
Solution Approach 2:
The system adjusts the selection parameters based on media asset characteristics. By incorporating linearity parameters that reflect the importance of sequentiality between episodes, the system modifies which summaries are selected and ranked, balancing quick generation with accurate representation of series context
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.