Multi-Dimensional Fabric Interface for Context-Aware Content Notification
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Solution Overview
Problem
Existing content presentation methods, such as social media platforms, often deliver content based on time or popularity, failing to provide users with relevant content when and where they need it, leading to inefficiencies in content consumption.
Innovation Solution
A multi-dimensional fabric system that stores content using location and time axes, allowing for the selection and notification of relevant content to users based on their current location and time, enabling immediate access to contextually appropriate content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is delivered based on time or popularity, then content can be pushed to users automatically, but the content may not be relevant to users when and where they need it
Solution Approach 1:
The patent introduces a multi-dimensional fabric that adds spatial and contextual dimensions to content delivery. Instead of traditional time-based or popularity-based single-dimensional sorting, the system creates a fabric with multiple dimensions including location, time, user preferences, and contextual factors, allowing content to be retrieved based on multiple simultaneous criteria rather than a single排序 dimension
Solution Approach 2:
The system dynamically changes the parameters used for content delivery by incorporating location coordinates, timestamp, user profile attributes, and contextual metadata as variable parameters. The multi-dimensional fabric allows these parameters to be adjusted and weighted differently based on user needs, transforming static content delivery into a dynamic parameter-driven system
2Ease of operation
If content is presented in chronological or popularity order, then the content feed is simple to generate, but it does not provide content when the user may actually be interested
Solution Approach 1:
The multi-dimensional fabric acts as an intermediary layer between the content database and the user. Instead of directly querying content by simple time or popularity criteria, the system uses the fabric as a mediator that processes multiple dimensions including location, time, user preferences, and contextual factors to retrieve relevant content, thereby improving matching accuracy without significantly increasing complexity
Solution Approach 2:
The system performs preliminary organization of content into the multi-dimensional fabric structure in advance, pre-processing content with metadata tags, location information, and contextual attributes. This preliminary action allows the fabric to quickly retrieve relevant content based on current user context without requiring complex real-time analysis, maintaining operational simplicity while improving reliability
Data Source
AI summary
An orthogonal or multi-dimensional fabric interface is described herein to select and present content to a user. A location is determined and time is selected for the user. The multi-dimensional fabric is accessed for content based the determined location and the selected time. If content is stored in the multi-dimensional fabric at the determined location and the selected time, the user is notified of the content, which can then be presented to the user.