- Mountain View CA, US Ying YANG - Mountain View CA, US Amrita DAMANI - Mountain View CA, US David Joseph ANTESTENIS - Mountain View CA, US Aaron DIBNER-DUNLAP - Mountain View CA, US Grace WU - Mountain View CA, US
Assignee:
INTUIT INC. - Mountain View CA
International Classification:
G06Q 30/02 H04L 12/58 G06N 20/00
Abstract:
Predictive modeling within a special purpose hardware platform to determine scenarios that are most likely to increase conversion potential for each trial user and retention potential for each active subscriber of a service, collectively referred to as a propensity score. The predictive models are integrated with a contextual marketing system that uses a loss risk assessment to learn user behavior and optimize content messaging designed to improve actual conversion or retention behavior for the user.
Bias Prediction And Categorization In Financial Tools
- Mountain View CA, US Nirmala RANGANATHAN - San Jose CA, US Aaron DIBNER-DUNLAP - Mountain View CA, US Sumayah RAHMAN - Mountain View CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06Q 40/02
Abstract:
A processor may obtain financial data for a user. The processor may process the financial data to generate feature data indicative of at least one feature. The processor may compare the at least one feature to at least one threshold value to determine that the user has a cognitive bias affecting a financial preference of the user and associated with the at least one threshold value. The at least one threshold value may denote a threshold for membership in a cluster of unlabeled users having the cognitive bias. In response to the comparing, the processor may identify a change applicable to a financial account of the user. The change may be associated with the cognitive bias. The processor may automatically cause the change to be implemented by a network-accessible financial service.