Annotation-Based Set Collection Generation
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Solution Overview
Problem
Current search and discovery methods for electronic objects are limited by keyword-based systems, which restrict users' ability to explore, share, and experience objects beyond their descriptive information.
Innovation Solution
The system generates collections of sets based on user-provided annotations for object identifiers, reducing the corpus by linking similar sets and determining set profile signatures to facilitate discovery of related objects, even if they don't share the same identifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If keyword-based search systems are used, then search functionality is provided, but the ability to discover and explore objects beyond descriptive information is limited
Solution Approach 1:
The patent segments the corpus of sets into collections based on user-provided annotations. By dividing the large corpus into smaller, annotation-based collections, the system enables more versatile object discovery while managing complexity through organized segmentation of data structures.
Solution Approach 2:
The patent introduces a new dimension for object discovery by using user-provided annotations as the basis for organizing collections. Instead of relying solely on keyword matching, the system adds an annotation-based dimension that allows users to discover objects through thematic and contextual relationships.
2Reliability
If the corpus of all potential sets is used, then complete object information is available, but the system becomes difficult to navigate and manage
Solution Approach 1:
The patent segments the complete corpus of sets into multiple collections based on user-provided annotations. This segmentation maintains the completeness of object information while improving manageability by organizing the corpus into smaller, theme-based collections that are easier to navigate and operate with.
3Productivity
If sets are reduced by removing unlinked sets, then navigation efficiency improves, but the probability of users navigating between remaining sets may decrease
Solution Approach 1:
The patent changes the parameter used for set reduction from link-based criteria to annotation-based similarity criteria. By using profile signature similarity thresholds, the system maintains navigation efficiency while preserving user navigation probability through annotation-driven collection generation that reflects user interests and behaviors.
Data Source
AI summary
Described are systems and methods for establishing and generating collections of sets that contain object identifiers based on user provided annotations for the object identifiers. A set may include one or more object identifiers and each object identifier may include one or more user provided annotations. Annotations from all object identifiers within a set are processed to form a set profile signature representative of the set. The set profile signatures are then compared between different sets to identify similar sets. Similar sets are included in a collection. Utilizing set profile signatures for a set formed based on user provided annotations provides useful relationships between sets that might otherwise not exist.