Rights Administrator Social Interaction Module
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Solution Overview
Problem
Current systems lack a convenient method for users to share and interact with online audio-visual content, such as movies, and do not effectively leverage user information for content recommendations, nor provide a way for content owners to promote their rights.
Innovation Solution
A system and method that integrates a social networking module within a rights administrator service or interacts with external social networking sites to allow users to share content items, create recommendations based on user libraries, and provide incentives for promoting content, including virtual clubs and influencer designations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users can share content items and interact on social networking sites, then user engagement and content visibility are improved, but system complexity and rights management overhead increase
Solution Approach 1:
The patent introduces a rights administrator service as an intermediary between content owners and social networking sites. This mediator handles rights management, content distribution, and user interactions centrally, reducing the complexity burden on individual users and platforms while enabling enhanced engagement features.
Solution Approach 2:
The rights administrator service performs multiple functions including rights management, content distribution, social interaction facilitation, and recommendation generation. By consolidating these diverse functions into a single universal system, the patent reduces overall system complexity while enabling rich user engagement capabilities.
2Productivity
If the system integrates social networking features within rights administrator service, then content promotion and user interaction are improved, but implementation complexity and operational overhead increase
Solution Approach 1:
The patent merges social networking features directly into the rights administrator service, combining content management and social promotion functions into a single integrated platform. This consolidation improves content promotion effectiveness by leveraging user networks while managing implementation complexity through unified system architecture.
3Measurement precision
If the system provides recommendations based on user libraries and taste profiles, then recommendation accuracy is improved, but data processing requirements and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of user libraries to create taste profiles in advance, rather than computing recommendations in real-time when needed. This pre-processing approach improves recommendation accuracy by thoroughly analyzing user preferences while reducing computational resource requirements during actual recommendation delivery.
4Reliability
If users can grant various levels of access to their libraries, then user control and privacy are improved, but access management complexity and operational overhead increase
Solution Approach 1:
The patent implements local quality control by allowing users to set different access levels for different friends or user groups regarding their library content. Some users may have full access while others have limited viewing rights. This granular, location-specific access control improves user control and privacy while managing complexity through contextual permission settings rather than universal rules.
Data Source
AI summary
Systems and methods are provided for sharing movie information online. In one implementation, the user of an online movie service can share information about the contents of a library or other such rights locker, e.g., under Ultraviolet™ and DECE. Users may also share likes and dislikes. The movie service may make suggestions based on the contents of the user's library and the contents of other user's libraries, such as those of the user's designated friends. A user can become a follower or fan of another user and receive recommendations based on the target user's profile or specific recommendations made by the target. The user can receive a credit on their account or on a related account when another user makes a purchase that is attributable to that user, e.g., from a recommendation. A user may be designated as an influencer when followed by a sufficient number of other users.