User experience using social and financial information

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Description

At least one financial information for a user is received. A machine learning model is determined. The machine learning model is determined based on the user. A personality of the user is determined based on the machine learning model and the at least one financial information for the user. A recommendation is provided based on the determined personality of the user.

Embodiments of the present invention include a method, computer program product, and system for providing a recommendation using social and financial information. In one embodiment, at least one financial information for a user is received. A machine learning model is determined. The machine learning model is determined based on the user. A personality of the user is determined based on the machine learning model and the at least one financial information for the user. A recommendation is provided based on the determined personality of the user.

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Tuhin Sharma
Senior Principal Data Scientist

My research interests include AI, NLP and Distributed Computing.

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