Document Relevance List Using Cross-Application Activity Metrics
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Solution Overview
Problem
Existing document cataloging methods, such as 'recently accessed document lists' and search functions, often include irrelevant documents, increasing the time users spend finding relevant files for their current work, especially when dealing with multiple applications.
Innovation Solution
A technique that assigns documents to a relevant list based on user activity across different applications, using a processor to determine document relevance and provide a visually or audibly accessible list, including local and remote documents, sorted by usage and organizational relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a 'recently accessed document list' is maintained, then document access time is reduced, but the list frequently includes documents that are not relevant to current work
Solution Approach 1:
The patent changes the parameters used to populate the document list from simple recency-based metrics to activity-based metrics that measure actual user engagement with documents across applications. This includes tracking time spent, number of edits, and interaction frequency to determine relevance, thereby maintaining fast access while improving document relevance.
Solution Approach 2:
The system implements feedback mechanisms where user interactions with documents are continuously monitored and used to update the relevant document list dynamically. The list adapts based on observed usage patterns, ensuring that frequently accessed and relevant documents remain prominent while reducing time loss from searching irrelevant documents.
2Ease of operation
If a search function is employed to locate documents, then users can find specific files, but users may locate a number of documents that are not relevant when the search function is employed
Solution Approach 1:
The patent performs preliminary organization of documents into relevance-based lists before users need to search. By pre-categorizing documents according to measured user activity and relevance metrics, the system reduces the need for extensive searching while ensuring that relevant documents are readily available, thus maintaining ease of operation while improving relevance.
3Adaptability or versatility
If multiple applications are used, then application functionality is enhanced, but document relevance across applications becomes difficult to maintain
Solution Approach 1:
The patent creates a universal document relevance system that operates across multiple applications simultaneously. By implementing a centralized mechanism that tracks user activity across different applications and maintains a unified relevant document list, the system preserves cross-application document relevance while allowing users to leverage the full functionality of multiple applications.
Data Source
AI summary
A technique for cataloging documents based on user activity includes assigning documents to a relevant document list based on activity of a user of a device. In this case, at least two of the documents are associated with different applications. The technique then provides the relevant document list to the user.