Cognizant Technology Solutions has been granted a patent for a computer-implemented method optimizing genetic algorithms for web interface conversion. The method utilizes a multi-arm bandit algorithm to evolve candidate individuals over generations, resulting in increased conversion rates. The final elite pool of candidates is then analyzed using a second MAB exploration algorithm to determine the winning candidate. GlobalData’s report on Cognizant Technology Solutions gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Cognizant Technology Solutions, Neural network-based robotics was a key innovation area identified from patents. Cognizant Technology Solutions's grant share as of May 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.
Optimizing genetic algorithms for web interface conversion optimization

A recently granted patent (Publication Number: US11995559B2) outlines a computer-implemented method for optimizing genetic algorithms to enhance web interface conversion rates. The method involves initializing a population of candidates with various elements and values, setting conversion goals, and evolving candidates over multiple generations based on user interactions. The process includes utilizing multi-arm bandit algorithms for candidate allocation, determining performance scores, and selecting elite candidates for further breeding. Through fitness-proportionate selection, crossover, and mutation operations, the method aims to generate a new population with improved conversion rates. The final elite pool of candidates undergoes a second multi-arm bandit exploration algorithm to identify the best candidate for web interface conversion, withholding a portion of users for this purpose.
Furthermore, the patent details variations of the method, including different multi-arm bandit algorithms, selection methods, and exploration algorithms. The process emphasizes the importance of optimizing overall conversion rates by evolving candidate populations over predetermined generations. By leveraging genetic algorithms and advanced algorithms like multi-arm bandits, the method aims to enhance web interface performance and user conversion rates significantly. The final elite pool of candidates represents the best-performing candidates, selected through a rigorous process of evaluation and breeding. With a focus on user interactions and conversion goals, the method offers a systematic approach to improving web interface conversion optimization through innovative computational techniques.
To know more about GlobalData’s detailed insights on Cognizant Technology Solutions, buy the report here.
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