Customized Rating System for DVR Content Classification
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Solution Overview
Problem
Existing rating systems for digital content are often vague and do not allow users to customize or influence the ratings assigned to television programs and movies, leading to dissatisfaction among viewers who find the information provided insufficient or disagree with the assigned ratings.
Innovation Solution
A system that enables users to define and use customized rating systems on digital video recorders (DVRs), allowing users to create and apply their own rating definitions, associate ratings with specific content, and set parental controls based on these custom ratings, with the option to use community ratings generated from multiple user inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing rating systems are used, then content classification is provided, but the ratings are vague and do not reflect user preferences
Solution Approach 1:
The rating system transitions from static pre-assigned ratings to dynamic user-defined ratings. Users can modify ratings based on their preferences, and the system adapts by storing and applying these personalized ratings across different content items. This makes the rating system flexible and responsive to individual user needs.
Solution Approach 2:
The system allows users to change the parameters of rating definitions. Users can define custom rating criteria, modify existing ratings, and adjust rating thresholds according to their preferences. This parameter flexibility enables precise control over content classification while maintaining adaptability to different user tastes.
2Reliability
If authoritative ratings are assigned, then content classification is established, but users have little ability to change or influence the ratings
Solution Approach 1:
The system empowers users to service their own rating needs by allowing them to define, modify, and manage their own rating criteria. Users can independently adjust ratings without relying on external authoritative bodies, giving them full control over content classification according to their personal preferences.
Solution Approach 2:
The rating system becomes dynamic and responsive to user actions. When users modify ratings, the system immediately applies these changes to content filtering and recommendations. This dynamic adjustment maintains reliability through consistent application of user-defined criteria while maximizing user control.
3Stability of the object's composition
If standardized rating systems are used, then content classification is consistent, but the information provided does not match viewer interests
Solution Approach 1:
The system applies different rating qualities to different users based on their individual preferences. While maintaining a consistent rating structure, each user receives customized rating information that reflects their specific interests and concerns. This local customization preserves structural consistency while enriching the informational content for each user.
Solution Approach 2:
The rating system dynamically adapts to reveal different aspects of content based on user preferences. Users can adjust their ratings to emphasize different content attributes (e.g., violence, language, nudity), and the system responds by providing tailored rating information that highlights the details most relevant to each user's interests.
Data Source
AI summary
Techniques for generating customized rating systems for use in a DVR are described. According to one technique, a user submits a rating system definition that comprises two or more different ratings of the user's choosing. The rating system definition is stored. The rating system definition defines a customized ratings system. That system's creator and other users may then associate various entities, such as channels, series, and episodes, with ratings from the customized rating system. DVRs may use these associations between entities and ratings for various purposes. For example, DVRs may use these associations to allow a user to search for entities that satisfy specified rating criteria. For another example, DVRs may use these associations to restricting which entities and information about those entities can be displayed or recorded when the DVR is in a restricted mode of operation. Customized rating systems may be modified by multiple users in collaboration.