Personalized Trailer Segment Rearrangement for Spoiler Avoidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users watching multi-part media content may encounter spoilers in trailers due to differing viewing histories, leading to unsatisfactory experiences when information from past episodes is revealed before they have watched those episodes.
Innovation Solution
A media player application analyzes user viewing histories to rearrange trailer segments based on spoiler information, identifying and reordering segments to minimize spoilers for individual users, and providing personalized spoiler alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If trailers include information from past seasons or episodes to advertise new content, then the trailer's promotional effectiveness is improved, but users who have not watched all previous episodes may encounter spoilers that degrade their viewing experience
Solution Approach 1:
The trailer is divided into multiple segments, each tagged with metadata indicating which episodes or seasons the content is from. This segmentation allows the system to identify and selectively hide segments that contain spoilers for users who have not watched those episodes, while preserving segments that are safe for all users.
Solution Approach 2:
The system performs preliminary analysis of the trailer content before playback, tagging each segment with episode/season information and identifying potential spoilers based on user viewing history. This preliminary action enables the system to prepare a customized trailer version that prevents spoiler exposure while maintaining promotional effectiveness.
2Ease of operation
If a standardized trailer is shown to all users, then the system's operational simplicity is maintained, but users with different viewing histories receive inconsistent viewing experiences with varying spoiler exposure
Solution Approach 1:
The trailer playback system dynamically adapts to each user's viewing history by automatically adjusting which segments are displayed. The system retrieves user profile data, compares it against trailer segment metadata, and dynamically constructs a personalized trailer version without requiring manual user input or complex configuration.
Solution Approach 2:
The system automatically manages the entire process of spoiler detection and trailer customization without user intervention. It self-retrieves viewing history, self-identifies spoiler segments, and self-generates the appropriate trailer version, maintaining ease of operation while achieving personalization.
3Stability of the object's composition
If the trailer plays all segments in the original order, then the trailer's intended narrative flow is preserved, but spoiler information may be revealed to users who have not watched certain episodes
Solution Approach 1:
Different segments of the trailer receive different treatment based on their local characteristics - specifically, which episodes or seasons they depict. Safe segments are played in the original sequence, while spoiler-containing segments are hidden or replaced with alternative content, allowing the trailer to maintain narrative coherence for safe portions while protecting users from spoilers.
Data Source
AI summary
Systems and methods are provided herein for rearranging the order of a plurality of segments of a trailer for media content, based on a retrieved viewing history of at least one user watching the trailer. Based on the retrieved viewing history, it is determined whether any of the plurality of segments arranged in a predetermined order contain spoiler information for the at least one user. Responsive to the determination that at least one of the plurality of segments contains spoiler information, a position of the at least one segment within the trailer is rearranged to generate a rearranged order of the plurality of segments, and the trailer in the rearranged order is generated for display.


