Intuit, Inc.

Jaspreet Singh

Houtao Deng

Shankar Sankararaman

John A Bocharov

Sean Arnold Pudney

Shivani Gowrishankr

S Satishkumar

Lan Jin

A method for automatically recommending to a user of a software application one or more categories of a plurality of different categories of tax deductible expenses includes providing input data to a trained machine learning model and receiving output from the trained machine learning model based on the input data. The output includes a recommendation for the user that includes (i) one or more categories of the plurality of different categories of tax deductible expenses; and (ii) a plurality of examples of tax deductible expenses for each of the one or more categories. The method includes receiving feedback from the user on the recommendation and generating updated training data for the trained machine learning model based on the feedback.

Machine learning based approach for recommending different categories of tax deductible expenses and related examples of tax deductible expenses for each category

A method for selecting advertisements to embed in an online application, including detecting an access to the online application by a customer, determining, based on an impression tracker associated with the customer, and using an ad type selection model, an advertisement to embed in the online application. The advertisement is displayed to the user and the impression tracker associated with the customer is incremented. The method further includes receiving, from the user, a selection of the advertisement, storing a type of the advertisement and the value of the impression tracker as ad selection data, determining that the ad type selection model needs to be updated, and updating the ad type selection model based on the ad selection data to obtain an updated ad type selection model.

Method and system for selecting advertisements to minimize ad fatigue

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Sunnyvale, CA, United States of America

Jaspreet Singh