Patent ID: 9372933
Filing Date: 2016-06-21
CPC Classification: G06F

Claim Text:
1. A method, in a data processing system, for personalized quantitative measure of accessibility, the method comprising: for a given web site or web application, accessing, by a crowd source interface executing on at least one processor of the data processing system, existing crowd sourced user ratings; generating, by the crowd source interface, a crowd source score for the given web site or web application based on the crowd sourced user ratings; generating, by an accessibility compliance verification component executing on the at least one processor of the data processing system, a compliance score for the given web site or web application based on compliance data published for the given web site or web application; obtaining, by a static analysis component executing on the at least one processor of the data processing system, a static analysis score for the given web site or web application; performing, by a data analysis component executing on the at least one processor of the data processing system, data analysis using data analytics to determine whether sufficient descriptions and labeling of existing elements on the given web site or web application have been used; generating, by the data analysis component, a data analysis score based on results of the data analysis; generating, by a score generator executing on the at least one processor of the data processing system, weights for a given user based on user profile information of the given user; applying, by the score generator, the weights to the crowd source score, the compliance score, the static analysis score, and the data analysis score to form weighted data; generating, by the score generator, a personalized accessibility score based on the weighted data, wherein generating the personalized accessibility score comprises entering the weights into an algorithm that performs a calculation to generate a numerical data value, wherein the numerical data value is a percentage measuring the usable accessibility of the given web site or web application based on the crowd source score, compliance score, static analysis score, and data analysis score; and outputting, by the score generator, the personalized accessibility score.