Content Management System Using Multi-Dimensional Matrices
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Solution Overview
Problem
Current digital content management systems (CMS) face challenges in efficiently managing and distributing digital content to diverse client devices across various dimensions, such as language, file type, resolution, and geographic location, leading to complexities in content delivery and compatibility.
Innovation Solution
A content management system (CMS) that classifies and distributes digital content items based on multi-dimensional matrices, using content dimensions, distribution dimensions, and device dimensions to ensure compatibility and optimal delivery through a content delivery network (CDN), allowing for precise targeting and updating of content across multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital content is distributed to diverse client devices across multiple dimensions (language, file type, resolution, geographic location), then content compatibility and targeting precision are improved, but system complexity and management difficulty increase
Solution Approach 1:
The patent segments content distribution into multiple independent dimensions (language, file type, resolution, geographic location), allowing each dimension to be managed separately through dimension-specific tables. This segmentation enables the system to handle diverse content requirements without creating unmanageable complexity, as each dimension can be configured and updated independently.
Solution Approach 2:
The patent introduces a multi-dimensional framework for content distribution, adding dimensions such as language, file type, resolution, and geographic location to the traditional content delivery model. This dimensional expansion allows the system to accommodate diverse client device requirements while maintaining structured management through dimension-specific configuration tables and combination rules.
2Loss of time
If content is updated across multiple devices through a CDN, then content freshness and timeliness are improved, but distribution time and network overhead increase
Solution Approach 1:
The patent pre-generates dimension-specific content tables (language table, file type table, resolution table, geographic location table) and combination rules in advance, so that when content needs to be updated, the system can quickly retrieve and recombine existing dimension tables rather than generating entire content sets from scratch. This preliminary preparation significantly reduces content update distribution time.
Solution Approach 2:
By segmenting content into independent dimensional tables, the system can update only the specific dimension tables that need changing rather than redistributing all content. For example, if only language content needs updating, only the language table is regenerated and redistributed, improving distribution efficiency while maintaining content freshness.
3Measurement precision
If the CMS manages detailed content dimensions and distribution rules, then content targeting precision is improved, but operational complexity and configuration difficulty increase
Solution Approach 1:
The patent transforms complex content management into manageable dimensional components by introducing separate dimension tables for language, file type, resolution, and geographic location. Each dimension can be configured independently with precise criteria, allowing high targeting precision while simplifying operation through modular configuration rather than monolithic rule sets.
Solution Approach 2:
The system pre-establishes dimension-specific tables and combination rules that define content distribution criteria. These preliminary configurations enable precise content targeting to be achieved through simple table lookups and combinations rather than complex real-time decision logic, making the system both precise and easy to operate.
Data Source
AI summary
In one embodiment, a method includes receiving a request from a client device, the request including one or more device dimensions associated with the client device. The method further includes identifying a set of one or more content profiles, where each identified content profile is associated with one or more content-profile dimensions that are compatible with the received device dimensions. The method also includes determining whether a previously created content manifest corresponds to the identified set of content profiles. The method also includes, in response to a determination that a previously created content manifest corresponds to the identified set of content profiles, sending to the client device a uniform resource identifier (URI) identifying a resource that includes the previously created content manifest.


