Contextual News Feed Filtering for Content Creation
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Solution Overview
Problem
Existing personal and shared content management systems face challenges in dynamically adapting news feeds to user activities and content creation processes, particularly when content is entered directly by users, as existing methods fail to sufficiently connect external and local content sources with user-driven content creation processes.
Innovation Solution
A system that determines relevant news items based on user input by constructing a filter using term frequency and inverse document frequency values, presenting these items to the user, and allowing them to insert selected content directly into their documents, thereby enhancing user productivity and adapting content streams to dynamic user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If news feeds are delivered in their entirety or by pre-set categories, then users receive comprehensive information coverage, but the system cannot dynamically adapt to user activities and content creation processes
Solution Approach 1:
The system pre-processes and indexes content from multiple news feeds using term frequency and inverse document frequency values before delivery, creating a prepared filtering mechanism that can rapidly adapt to user activities without real-time processing complexity
Solution Approach 2:
The system monitors user activities and content creation processes in real-time, using this feedback to dynamically adjust which pre-processed news items are delivered and how they are organized, enabling adaptation without requiring complex real-time filtering infrastructure
2Productivity
If external content sources are connected to content authoring processes, then user productivity is enhanced, but the system complexity increases for integrating and managing multiple content streams
Solution Approach 1:
The system introduces an intermediary filtering layer that sits between external content sources and the content authoring interface, using term frequency and inverse document frequency values to automatically relevance-rank news items based on user input, thereby simplifying the integration complexity while enhancing productivity
Solution Approach 2:
The system creates simplified copies or representations of external content streams that are pre-processed and organized according to user context, allowing users to work with streamlined versions of complex content streams without directly managing the underlying integration complexity
Data Source
AI summary
While receiving a user input of content of a first document, a computer system, dynamically and in real time, identifies relevant information items from a plurality of information feeds. Specifically, one or more other documents is obtained in a collection of documents that are relevant to the first document being entered by a user. When it is determined that changes in member documents of the set of one or other documents satisfies a stabilization criterion while receiving the user input, related terms are extracted from the content of the first document and the one or more other documents and used to identify the relevant information items including the related terms from the plurality of information feeds that is distinct from the collection of documents. The relevant information items are then presented on a display for the user.