Auto-Surfacing Tagged Content in Vertical Applications
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Solution Overview
Problem
Social bookmarking systems lack an efficient method to automatically surface tagged content within vertical applications, requiring users to manually interact with separate bookmarking systems for accessing and visualizing relevant information.
Innovation Solution
A method and system for automated surfacing of tagged content in vertical applications, where text from the content is parsed and compared to social bookmarks, with visually emphasized matches displayed within the application, using auto-surfacing logic that can be embedded, coupled as a helper application, or reside on a host server, to integrate social bookmarking functionality without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually access separate bookmarking systems to view tagged content, then comprehensive bookmark management is achieved, but user time and operational complexity increase
Solution Approach 1:
The patent merges the social bookmarking system with the end-user application by integrating auto-surfacing logic directly into the application. This allows bookmark tagging and visualization to occur within the same interface where users consume content, eliminating the need to switch between separate bookmarking tools and reducing access time for tagged content.
Solution Approach 2:
The auto-surfacing logic acts as an intermediary component that bridges the end-user application and the social bookmarking system. It automatically extracts content, compares it against saved bookmarks, and surfaces matched results within the application interface, mediating between the two systems without requiring user intervention to access bookmarks.
2Adaptability or versatility
If social bookmarking functionality is integrated into end-user applications, then user experience improves, but system complexity increases
Solution Approach 1:
The patent segments the bookmarking functionality into distinct modular components: content extraction logic, comparison logic, and visualization logic. This modular architecture allows the system to be integrated into different end-user applications with varying requirements while maintaining clear separation of concerns and manageable complexity.
Solution Approach 2:
The auto-surfacing logic is designed as a universal component that can be embedded in various types of end-user applications regardless of their specific domain or platform. It provides multi-functional capability by handling content extraction, bookmark matching, and result visualization in a single integrated module that adapts to different application contexts.
3Productivity
If automatic content comparison is performed against social bookmarks, then relevant content is quickly identified, but processing resources increase
Solution Approach 1:
The comparison logic performs partial matching by focusing on key identifying features of content rather than exhaustive analysis of all content attributes. This selective comparison approach quickly identifies relevant bookmarks without requiring complete content analysis, reducing processing power consumption while maintaining matching accuracy.
Data Source
AI summary
Embodiments of the present invention address deficiencies of the art in respect to social bookmarking and provide a method, system and computer program product for automated surfacing of tagged content in a vertical application. In an embodiment of the invention, a method for automatically surfacing tagged content in a vertical application can be provided. The method can include parsing text from content in an end user application, comparing the parsed text to social bookmarks and associated metadata in a social bookmarking system and matching portions of the content to respective ones of the social bookmarks based upon the comparison, and visually emphasizing the matched portions of the content in the end user application.