Dynamic Localization Source Selection for Web Content
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Solution Overview
Problem
Current website localization methods are inefficient as they do not dynamically adapt to changing market conditions and prioritize localization sources based on the potential financial return of individual content elements, leading to over-investment in less important content and under-investment in more important content.
Innovation Solution
A system and method that computes the cost of localizing content elements with respect to various localization sources, selects the optimal source based on specific criteria, and dynamically adjusts the localization source based on monitored parameters such as market dynamics and economic return, allowing for real-time optimization of localization decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional localization methods are used to localize entire websites, then localization coverage is improved, but investment efficiency deteriorates due to over-investment in less important content and under-investment in more important content
Solution Approach 1:
The patent applies local quality by differentiating localization investment across different content elements based on their individual profitability potential. Instead of uniform localization, the system identifies high-value content elements (those with greater profit potential) and allocates more resources to their localization, while reducing investment in low-value elements. This resolves the contradiction by maintaining comprehensive localization coverage while optimizing investment distribution to match actual content value.
Solution Approach 2:
The system dynamically changes the localization investment parameter based on measured profitability potential of different content elements. By continuously monitoring market conditions, visitor behavior, and revenue data, the system adjusts localization spending parameters in real-time, increasing investment in high-performing content and decreasing it in low-performing content, thereby resolving the efficiency loss.
2Ease of operation
If static localization decisions are made based on initial market assessment, then decision simplicity is improved, but adaptability deteriorates as market conditions and content profitability change over time
Solution Approach 1:
The patent implements dynamics by transforming static localization decisions into continuous dynamic adjustments. The system automatically monitors changing market conditions, visitor behavior patterns, and revenue data, then dynamically reallocates localization investment across content elements. This maintains operational simplicity through automation while achieving high adaptability to market changes, resolving the contradiction between ease of operation and market adaptability.
Solution Approach 2:
The system employs feedback mechanisms by continuously measuring the profitability impact of localized content and using this information to adjust future localization decisions. The feedback loop captures real-world performance data and feeds it back into the decision-making process, enabling the system to adapt to changing market conditions automatically. This resolves the contradiction by maintaining simple automated operations while achieving sophisticated adaptive responses to market changes.
3Reliability
If manual localization source selection is used for each content element, then localization quality is improved, but operational complexity and cost increase
Solution Approach 1:
The patent applies self-service by enabling the system to automatically select appropriate localization sources for different content elements based on measured profitability potential and content characteristics. The automated system evaluates each content element and independently determines the optimal localization approach without manual intervention. This maintains high localization quality through intelligent automated selection while reducing operational complexity and costs, resolving the contradiction between quality and system complexity.
Data Source
AI summary
Method and system for localizing an element present in a piece of content having a plurality of elements. A cost of localizing an element with respect to each of one or more localization sources is first computed. At least one criterion based on which a localization source for localizing the element is to be determined is obtained. A localization source for to the element is then selected based on an assessment with respect to the at least one criterion. The element of the content is then localized using the selected localization source.