Network Feed Keyword Enrichment System
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Solution Overview
Problem
Traditional network feeds contain static content that limits user experience, requiring users to manually search for additional information about referenced people, places, or things, which is frustrating and time-consuming.
Innovation Solution
A system that fetches network feeds, identifies relevant keywords, and supplements the content with additional information such as images or links from a content provider, creating a 'rich feed' that enhances user experience by providing relevant details directly within the feed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional static network feed format is used, then the feed structure is simple and easy to implement, but the amount of information conveyed is limited and users must manually search for additional information
Solution Approach 1:
The patent embeds additional content (images, videos, links, descriptions) within the existing network feed structure. Each feed item contains nested elements that provide supplementary information about people, places, and things mentioned in the original content, allowing comprehensive information delivery while preserving the original feed format
Solution Approach 2:
The system introduces an intermediary processing layer that automatically enriches feed content by identifying keywords and inserting relevant additional information from external sources. This mediator handles the complexity of information gathering and integration, presenting enriched content without requiring users to manually search
2Loss of information
If additional content is manually searched by users, then comprehensive information can be obtained, but it is frustrating and time consuming
Solution Approach 1:
The system performs preliminary actions by automatically gathering, processing, and integrating additional information about people, places, and things before the user views the feed. Keywords are identified and content is retrieved in advance, so when users view the feed, all relevant information is already embedded and ready for immediate consumption
Solution Approach 2:
The system provides self-service by automatically completing the information gathering task that would otherwise require user effort. The feed enrichment process operates autonomously, identifying keywords, searching external sources, and integrating content without user intervention, thereby eliminating the time users would spend manually searching
3Loss of information
If keywords are replaced with content, then the feed provides more comprehensive information, but the processing complexity increases
Solution Approach 1:
The patent segments the feed processing into distinct modules: keyword identification, content retrieval, content integration, and feed assembly. Each module handles a specific aspect of the enrichment process, making the overall complex task manageable and maintainable through clear separation of concerns
Solution Approach 2:
The system implements a universal content enrichment mechanism that handles multiple types of content (images, videos, links, descriptions) and multiple entities (people, places, things) through a single integrated process. The keyword replacement system is designed to work with various content types and sources, reducing processing complexity through standardized multi-functional handling
Data Source
AI summary
Network feed content is described. In implementations, a network feed is parsed to locate one or more keywords. Additional content that corresponds to the one or more keywords is added to the network feed. The network feed having the additional content is communicated for receipt via a network by one or more users.