Automatic Context-Aware Document Presentation in New Browser Tabs
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Solution Overview
Problem
Users often have to sift through numerous documents to find the one they are interested in, as existing systems lack the ability to present contextually relevant information without user intervention.
Innovation Solution
A method and system that receive information from multiple data sources to identify a relevant document and present it in a new browser window or tab without user intervention, using a hardware processor to determine when a new browser window or tab is opened.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually search through numerous documents to find relevant information, then they can locate specific documents, but the process is time-consuming and inefficient
Solution Approach 1:
The system performs preliminary actions by collecting user information from multiple data sources in advance, analyzing user context, and pre-identifying relevant documents before the user actually needs them. When a new browser window or tab is opened, the system already has the relevant document ready to present, eliminating the manual search process and reducing time loss.
2Productivity
If the system automatically presents relevant documents without user intervention, then information retrieval efficiency is improved, but the system complexity increases
Solution Approach 1:
The system achieves multi-functionality by using a single integrated approach that collects user information from multiple diverse data sources (messaging applications, social networking services, calendars, contacts) through unified data collection mechanisms. This universal method handles various information types and sources without requiring separate complex systems for each data source, thereby improving productivity while controlling system complexity.
3Measurement precision
If the system collects information from multiple data sources to improve relevance accuracy, then document relevance is improved, but the data processing complexity increases
Solution Approach 1:
The system extracts only the essential and relevant information from multiple data sources needed for document identification, rather than processing all available data. By selectively extracting user context information from messaging applications, social networking services, calendars, and contacts, the system achieves high document relevance accuracy while minimizing data processing complexity through focused information extraction.
Data Source
AI summary
Methods, systems, and media for presenting contextually relevant information are provided. In some implementations, the method includes: receiving information associated with a user of a user device from multiple data sources, where the user device comprises a display; identifying, without user intervention, a relevant document based on the received information associated with the user of the user device; determining that a new browser window or a new browser tab has been opened by a browser application being executed by the user device; and causing, without user intervention, the relevant document to be presented using the new browser window or new browser tab.