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METHOD AND SYSTEM FOR USING TEMPORAL DATA AND/OR TEMPORALLY FILTERED DATA IN A SOFTWARE SYSTEM TO OPTIMIZE, IMPROVE, AND/OR MODIFY GENERATION OF PERSONALIZED USER EXPERIENCES FOR USERS OF A TAX RETURN PREPARATION SYSTEM
METHOD AND SYSTEM FOR USING TEMPORAL DATA AND/OR TEMPORALLY FILTERED DATA IN A SOFTWARE SYSTEM TO OPTIMIZE, IMPROVE, AND/OR MODIFY GENERATION OF PERSONALIZED USER EXPERIENCES FOR USERS OF A TAX RETURN PREPARATION SYSTEM
A method and system adaptively improves potential customer conversion rates, revenue metrics, and/or other target metrics by providing effective user experience options, from a variety of different user experience options, to some users while concurrently testing user responses to other user experience options, according to one embodiment. The method and system selects the user experience options by applying user characteristics data to an analytics model, according to one embodiment. The user characteristics data include time data, e.g., when a user interacts with a software system, according to one embodiment. The method and system applies one or more time filters to data samples to train the analytics model, and the method and system analyzes user responses to the user experience options to update the analytics model, and to dynamically adapt the personalization of the user experience options, at least partially based on feedback from users, according to one embodiment.
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