Media Playlist Recommendations Using Child Disinterest Feedback
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Solution Overview
Problem
Parents struggle to create playlists for their children that align with their rapidly changing tastes in content, leading to frequent requests for new content and disruption due to inclusion of disliked media assets.
Innovation Solution
An interactive media guidance application that monitors expressions of disinterest from children, updates their user profiles based on these expressions, and recommends media assets that are less likely to be objected to, using a comprehensive set of parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If parents manually select media assets for their children's playlist, then they can control content approval, but they cannot keep up with children's rapidly changing tastes leading to frequent requests for new content
Solution Approach 1:
The system pre-selects media assets and creates playlists in advance based on child user profiles and preferences, so that when children request content, approved content is already available without requiring real-time parental intervention
Solution Approach 2:
The system automatically monitors child viewing activity, updates user profiles, and generates playlist recommendations without parental involvement, allowing the system to serve itself in managing content approval while maintaining parental oversight
2Adaptability or versatility
If parents include diverse content in playlists to satisfy changing tastes, then content variety increases, but children may object to inappropriate content
Solution Approach 1:
The system monitors child viewing activity and objects to content in real-time, using this feedback to update user profiles and adjust playlist recommendations, ensuring content variety while preventing inappropriate content exposure
Solution Approach 2:
The system acts as an intermediary between parental controls and child content consumption, automatically filtering and selecting appropriate content based on updated user profiles without requiring direct parental review of each item
3Speed
If the system recommends content based only on viewing history, then recommendation speed increases, but accuracy decreases due to lack of disinterest feedback
Solution Approach 1:
The system incorporates disinterest feedback from children into the recommendation algorithm, updating user profiles to reflect both positive viewing history and negative disinterest signals, thereby improving preference detection accuracy while maintaining efficient automated operation
Data Source
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AI summary
Systems and methods for providing a first user with recommendations of media assets for inclusion in a playlist for a second user based on the second user's viewing activity. These systems and methods receive, from the second user, an expression of disinterest in a media asset included in the playlist for the second user, update a user profile associated with the second user based on the expression of disinterest, and determine a recommendation for another media asset based on the updated user profile associated with the second user. The systems and methods provide the recommendation to the first user. By recommending media assets that the second user is least likely to object to, these systems and methods reduce the frequency of disruptive requests for media assets from the second user.