International Business Machines Corporation

Tom Brugler

Jennifer M Hatfield

Randall Avery Craig

Corey Sonier

Chris Degnen

Michael Bender

Aspects of the present invention disclose a method for recommending an activity based on a social media profile, IoT devices, and historical engagements of the user. The method includes one or more processors determining a past activity of a user based at least in part on social media posts and internet of things (IoT) enabled devices of the user. The method further includes determining a set of historical conditions corresponding to the past activity, wherein the set of conditions correspond to a positive sentiment of the user. The method further includes identifying a location of the user. The method further includes generating an activity recommendation based on the location of the user and the set of historical conditions corresponding to the past activity, wherein the activity recommendation includes a set of future conditions of a future activity, wherein the set of future conditions correlate with the set of historical conditions.

Activity recommendations based on IoT and social media

Automatically generating web design style guidelines is provided. A set of web design style guideline patterns present in extracted website design and content elements corresponding to a website design build is identified using a cognitive component. The set of web design style guideline patterns is correlated with a set of accessibility rules using the cognitive component. A set of web design style guidelines is automatically generated for the website design build that complies with the set of accessibility rules using the cognitive component based on correlation of the set of web design style guideline patterns with the set of accessibility rules. A recommendation is output for the set of web design style guidelines to be implemented in the website design build using the cognitive component.

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Fuquay Varina, NC, United States of America

Tom Brugler