Language-Neutral Content Addressing for Cross-Geography Valuation
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Solution Overview
Problem
Existing content translation systems fail to effectively correlate and compare the business value of content across multiple geographies and cultures due to the creation of separate translated files, leading to difficulties in determining the impact of original content and missing opportunities for optimizing content value across regions.
Innovation Solution
The implementation of language-neutral content addressing techniques, which generate a unified language-neutral representation of original content, incorporate valuation algorithms, and use cryptographic hash values for storage and valuation tracking in a content-addressable system, allowing for uniform valuation across translations and geographies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is translated into multiple languages for different geographies, then the reach and business impact of content is improved, but the ability to correlate and measure the value of original content across translations is lost
Solution Approach 1:
The patent uses cryptographic hash values as digital fingerprints to copy and track the identity of original content across all translated versions. Each translated document contains a hash of the original content, enabling verification and correlation without compromising the translated content's integrity or usability in different geographies
Solution Approach 2:
The patent introduces cryptographic hash values as an intermediary element that bridges the original content and its translations. This intermediary enables correlation and value measurement across multiple languages and geographies without requiring direct access to or modification of the original content, thus preserving both adaptability and information correlation
2Adaptability or versatility
If multiple translated versions are stored in different locations, then localization and cultural adaptation are improved, but the complexity of tracking and valuing original content across these versions increases
Solution Approach 1:
Instead of tracking multiple complex versions of content across different storage locations, the patent copies the cryptographic hash value of the original content into each translated version. This simple copy operation enables centralized tracking and valuation without requiring complex version control systems or centralized storage, thus maintaining localization capability while reducing system complexity
Solution Approach 2:
The patent transforms the content tracking problem from tracking entire content files to tracking a single parameter - the cryptographic hash value. This parameter change simplifies the valuation system by reducing the complexity of monitoring and comparing content across multiple geographies and languages, while still enabling comprehensive tracking of original content's business impact
3Measurement precision
If content valuation is performed on translated versions, then the business value in different geographies can be measured, but the opportunity to identify disparities and optimize resource allocation is lost
Solution Approach 1:
The patent copies the original content's hash value into all translated versions, enabling automated correlation and valuation. This allows the system to precisely measure content value in each geography while automatically identifying disparities, thus improving both measurement precision and resource allocation efficiency by enabling data-driven decisions about where to focus content investment
Solution Approach 2:
The patent implements a feedback mechanism where valuation data from translated content across different geographies is collected and analyzed. This feedback enables the system to identify which content performs best in which regions, allowing enterprises to optimize resource allocation by focusing on high-value content and geographies, thus improving both measurement capability and productivity
Data Source
AI summary
Techniques are disclosed for data valuation using language-neutral content addressing techniques in an information processing system. For example, a method comprises the following steps. The method obtains original content in an original language. The method generates a language-neutral representation of the original content. The method then generates an object comprising the language-neutral representation of the original content and at least one valuation algorithm, wherein the at least one valuation algorithm is configured to perform content valuation. The method generates a cryptographic hash value of the object, and stores the object for access using the cryptographic hash value.


