Intuit, Inc.

Lulu Cheng

Jing Zhang

Meng Chen

Wenting Cai

Crystal Meng

Neha Kumari

Prateek Vasant Kakirwar

Anilkumar Pillai

Systems of the present disclosure generate database queries for financial information requested in a natural-language form. A natural-language processing (NLP) financial aggregator receives a request for financial information and extracts NLP features of the request, including keywords. The NLP financial aggregator determines a type of the request based on the features and creates a query in a database-query language for the financial information based on the type and on the features. The NLP financial aggregator submits the query to a database where the financial information is stored. The software then receives the financial information from the database and sends the information to the user.

System to convert natural-language financial questions into database queries

The invention relates to a method for identifying a life event affecting a user. The method includes obtaining a classification model. The classification model models how financial data of a user relates to life events. Also, the method includes gathering the financial data of the user. The financial data of the user matches at least a subset of the classification model. In addition, the method includes identifying a life event affecting the user by applying the classification model to the financial data of the user. Still yet, the method includes customizing a user interface of an application that is utilized by the user. The customization is based on the identified life event.

Utilizing financial data of a user to identify a life event affecting the user

Growing community of inventors

Mountain View, CA, United States of America

Lulu Cheng