Content Import with Discovery in Collaborative Environments
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Solution Overview
Problem
In distributed systems, users face challenges in efficiently accessing and managing documents across various repositories, leading to increased complexity and latency in finding relevant documents for collaborative tasks, due to the use of disparate tools and heterogeneous data sources.
Innovation Solution
A content sharing system that utilizes domain-specific connectors and machine learning models to import documents from federated data sources, providing personalized recommendations based on metadata and user interactions, thereby reducing the need for manual searching and improving document accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually search for documents across disparate repositories, then document accessibility is improved, but time consumption and complexity increase
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between users and disparate document repositories. This system automatically discovers, imports, and organizes documents from multiple heterogeneous sources into a unified accessible interface, eliminating the need for users to manually search across multiple repositories while maintaining document accessibility.
Solution Approach 2:
The system performs preliminary actions by proactively discovering and importing relevant documents from external repositories before users need them. The automatic document discovery and import functionality pre-processes document collection, so when users access the system, documents are already available without requiring manual searching or waiting.
2Adaptability or versatility
If multiple heterogeneous data sources are integrated, then document variety is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal document management system that can handle multiple heterogeneous data sources through a single unified interface. The system provides multi-functional capabilities to discover, import, store, and manage documents from various external repositories (cloud storage, file servers, collaboration platforms) without requiring separate systems for each source, thereby reducing overall system complexity while maintaining document variety.
Solution Approach 2:
An intermediary layer is introduced between the heterogeneous data sources and the user interface. This mediator handles the complexity of integrating multiple document repositories by providing standardized protocols and automatic adaptation, allowing the system to support diverse document sources without exposing complexity to users or requiring complex manual integration configurations.
3Productivity
If automatic document import is implemented, then document availability is improved, but resource consumption increases
Solution Approach 1:
The system implements partial automatic document import by selectively discovering and importing only relevant documents based on predefined criteria, user profiles, and contextual information. Rather than importing all available documents from external repositories, the system performs partial imports of documents that are most likely to be useful, thereby maintaining high document availability while reducing unnecessary resource consumption from importing irrelevant content.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor document usage patterns, user preferences, and relevance metrics to optimize automatic import operations. By analyzing feedback from user interactions and document access patterns, the system dynamically adjusts import behavior to maintain high document availability while minimizing resource consumption by focusing imports on high-value documents.
Data Source
AI summary
Methods, systems, and computer-readable media for content importing with discovery in a collaborative environment are disclosed. A content sharing system retrieves a document from a data source using a connector associated with the data source. The document is retrieved using one or more credentials associated with a user. The content sharing system retrieves metadata associated with a plurality of additional documents stored by the data source. The metadata is retrieved using the one or more credentials associated with the user. The content sharing system determines, based at least in part on the metadata associated with the plurality of additional documents, one or more of the additional documents that are anticipated to be relevant to the user. Data descriptive of the one or more of the additional documents is presented to the user via a user interface.