Intuit, Inc.

Neha Kumari

Prateek Vasant Kakirwar

Mahesh Subramanian

Elangovan Shanmugam

Kishore Nene

Tarek Rabbani

Siddhartha Misra

Lulu Cheng

Neha Giri

Anilkumar Pillai

Tanmay Shah

Suchit Kumar Biswal

Pavanakumar Manakatti

Nageswara Prasad Cherukuri

Systems and methods are provided for categorizing a transaction description using natural language processing.

Systems and methods for improved transaction categorization using natural language processing

Systems and methods for quantifying saved time during data entry.

Systems and methods for quantifying saved time

A method may include extracting, from historical clickstream data, historical user events, generating historical user features from the historical user events, generating, using the historical user features, a training data set including feature vectors each labeled with an outcome of a historical requested event, adding, to a decision tree: internal nodes corresponding to the historical user features, branches corresponding to the values of the historical user features, and leaf nodes each corresponding to an outcome of the historical requested event. The method may further include extracting, from new clickstream data, new user events, generating new user features from the new user events, detecting a request to cause a new requested event, and predicting an outcome of the new requested event by traversing a path including: a series of branches each corresponding to a value of one of the new user features, and a leaf node corresponding to the outcome.

Predicting event outcomes using clickstream data

Computerized systems and methods for efficiently refreshing financial data for financial accounts for login identifications of users at respective financial institutions in a batch data pull via a communication network. The login identifications are prioritized for being refreshed based on determining a probability that each login identification has a new transaction since the last successful refresh of the login identification using a learning algorithm utilizing past financial data. The login identifications are then refreshed in a batch data pull from the financial institutions in an order from highest probability to lowest probability of having a new transaction since the last batch data pull.

Methods and systems for efficiently retrieving financial data for financial accounts via a comunication network

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

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Newark, CA, United States of America

Neha Kumari