Automated Content Package Selection via Inclusion Value
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Solution Overview
Problem
Users face difficulty in selecting relevant content from a vast array of choices across various platforms and sources due to the burden of extensive searching and needing prior knowledge of content subject matter, especially when time is limited.
Innovation Solution
A system that generates content packages by calculating an inclusion value for content files based on user profiles, social networking factors, content ratings, aging, and request length, allowing for selection and incorporation of content without extensive user inquiry or prior knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually search and select content from multiple sources, then content selection accuracy improves, but time consumption and user effort increase significantly
Solution Approach 1:
The system performs content selection automatically based on user profiles and preferences without requiring manual user input. The automated content packaging system analyzes user data and selects appropriate content files, allowing the system to serve itself rather than requiring continuous user direction for content selection.
Solution Approach 2:
The patent replaces manual mechanical content selection processes with automated computational algorithms. The system uses processing logic that automatically evaluates content against user profiles, social networking factors, and content attributes to make selection decisions, substituting human cognitive processing with automated computer-based decision making.
2Measurement precision
If users provide detailed specifications about content files, then content selection precision improves, but user burden and complexity increase
Solution Approach 1:
The system automatically determines content selections by analyzing user profiles and content attributes without requiring users to provide detailed specifications. The automated packaging system extracts relevant information from content metadata and user data, eliminating the need for users to manually specify content criteria.
Solution Approach 2:
The system introduces an intermediary processing layer between users and content files. This intermediary automatically translates user preferences into specific content selections by analyzing profiles and content attributes, shielding users from the complexity of content specifications while maintaining precise selection accuracy.
3Loss of information
If the system provides comprehensive content information, then content discovery quality improves, but information overload and user confusion increase
Solution Approach 1:
The system extracts and presents only the essential content information relevant to each user's profile and preferences. By filtering out unnecessary information and focusing on personalized content attributes, the system maintains information completeness for relevant aspects while reducing overall information complexity for the user.
Solution Approach 2:
The system provides different levels of information detail tailored to individual user needs and content types. Rather than uniformly presenting all content information, the system adapts the information presentation to local requirements, providing comprehensive details where needed and summarized information where appropriate, thereby reducing overall complexity.
Data Source
AI summary
Preparing a content package by determining a requesting user profile based on the requesting user identity. This includes calculating an inclusion value for a content file based on at least one factor. The factor may be a social networking factor. The social networking factor is based on a profile attribute linking the requesting user identity to at least one friend user identity and a content rating attribute linking the content file to the friend profile. Other factors are a content aging factor based on a content age value and a request length factor based on a content length value. The calculated inclusion value is compared to an inclusion condition. If the calculated inclusion value satisfies the inclusion condition, incorporating the content file into the content package.