Media Guidance App Character Recognition for Prerequisite Recommendations
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Solution Overview
Problem
Users often struggle to fully understand and enjoy movies that feature characters from other series due to lack of familiarity with those characters, leading to incomplete viewing experiences.
Innovation Solution
A media guidance application that analyzes user consumption habits and recommends relevant media assets to familiarize users with unknown characters before they watch a new movie, by splitting media assets into segments and using facial and audio recognition to identify key characters and their presence in those segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a user watches a new movie featuring characters from other series, then the user can experience new storylines and plots, but the user cannot fully understand and enjoy the movie due to lack of familiarity with unknown characters
Solution Approach 1:
The system performs preliminary action by automatically recommending and providing access to prerequisite media assets (movies, episodes) that introduce unknown characters before the user watches the target movie. This allows users to gain necessary character background information in advance, ensuring complete understanding and enjoyment of the new movie without manually searching for prerequisite content.
Solution Approach 2:
The media guidance application acts as an intermediary between the user and the vast library of media assets. It analyzes the target movie to identify unknown characters, automatically searches for and recommends relevant prerequisite media assets, and provides organized access to this content. This intermediary system bridges the gap between the user's limited knowledge and the comprehensive character backgrounds needed for full movie comprehension.
2Loss of information
If the user manually searches for and watches all prerequisite media assets to understand character backgrounds, then the user can fully understand the new movie, but the process becomes time-consuming and complex
Solution Approach 1:
The system performs self-service by automatically analyzing the target movie, identifying all unknown characters, searching for relevant prerequisite media assets, and organizing them into a recommended viewing list. The system handles the entire process of information gathering and organization without requiring manual user intervention, thereby reducing both time consumption and operational complexity while ensuring complete character background coverage.
3Loss of information
If the system recommends all possible media assets containing unknown characters, then the user can gain complete character knowledge, but the recommendation list becomes overwhelming and difficult to navigate
Solution Approach 1:
The system applies segmentation by dividing the comprehensive list of all possible media assets containing unknown characters into a structured, prioritized recommendation list. It segments content based on relevance to the target movie, importance of character appearances, and logical viewing sequence. This segmentation transforms an overwhelming comprehensive list into a manageable, easy-to-navigate guided path that maintains completeness of character background information.
Data Source
AI summary
Systems and methods for recommending a media asset relating to a character unknown to a user are provided herein. The systems and methods may receive a first media asset viewed by a user, determine a first character in the first media asset, and include the first character in the character viewing profile for the user. Further, the systems and methods may receive a second media asset, including the first character, determine that a second character appears in the second media asset, and determine that the second character is not in the character viewing profile. The systems and methods may recommend a third media asset to the user for the second character.