Trademark Strength Score Calculation via Normalized Indicators
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Solution Overview
Problem
Current methods for evaluating trademark strength are subjective and lack objective measures, making it difficult to differentiate between strong and weak trademarks, and are computationally intensive, rendering them impractical for daily updates and global comparisons.
Innovation Solution
An objective method is introduced that calculates a strength score for trademarks by analyzing persistence, market footprint, jurisdictional coverage, and distinctiveness indicators, normalizing these metrics based on global averages, and providing improvement recommendations through an electronic interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional subjective methods are used to evaluate trademark strength, then evaluation flexibility is maintained, but objectivity and differentiation between strong and weak trademarks deteriorate
Solution Approach 1:
The trademark strength evaluation is segmented into multiple independent indicators including persistence indicator (trademark age), market indicator (economic and industry footprint), jurisdictional coverage indicator (number of registered jurisdictions), and distinction indicator (distinctiveness measurement). Each indicator is calculated separately and then aggregated to form the overall strength score, enabling objective and differentiated evaluation.
Solution Approach 2:
The patent transforms the abstract concept of trademark strength into concrete measurable parameters. Specific parameters include average age of trademark registrations, economic footprint metrics, industry footprint metrics, number of registered jurisdictions, and distinctiveness scores. These parameter changes enable precise measurement and comparison of trademark strength.
2Measurement precision
If comprehensive trademark analysis is performed, then evaluation accuracy is improved, but computational burden increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing base metrics such as trademark registration dates, jurisdictional information, and classification data in a structured database. This preliminary organization of data significantly reduces the computational burden during actual strength evaluation, as the system only needs to retrieve and aggregate pre-processed information rather than performing complex analyses from scratch.
3Reliability
If real-time trademark strength updates are implemented, then data freshness is improved, but processing time increases
Solution Approach 1:
The system implements continuous monitoring and automatic updating of trademark strength scores. As new trademark registrations are added to the database or existing trademarks undergo changes, the system automatically recalculates the relevant indicators and updates the strength scores without requiring manual intervention. This continuous action ensures data freshness while maintaining efficient processing through the established computational framework.
Data Source
AI summary
A method, apparatus, and computer-readable storage medium that generate, from a database, an identifier record grouping including the identifier record and at least one other identifier record, generate one or more strength indicators of the generated identifier record grouping, normalize a value of each of the one or more strength indicators based on an average value associated with the respective strength indicator, generate a value of a strength metric of the generated identifier record grouping based on a sum of the normalized values of the one or more strength indicators, rank the value of the strength metric amongst values of strength metrics associated with a plurality of identifier record groupings within the database, and determine a strength score of the generated identifier record grouping as the strength score of the identifier record based on the ranking.