Maplebear Inc.

Rucheng Xiao

Aman Jain

Ajay Pankaj Sampat

Aoshi Li

Mengyu Zhang

Chia-Eng Chang

Van Nguyen

Shuo Feng

Pak Hong Wong

Ziwei Shi

Leo Kwan

An online system receives information describing an order placed by a user of the online system and a set of contextual features associated with servicing the order. The online system also retrieves a set of user features associated with the user. The online system accesses a machine learning model trained to predict a tip amount the user is likely to provide for servicing the order and applies the machine learning model to a set of inputs, in which the set of inputs includes the information describing the order, the set of user features, and the set of contextual features. The online system then determines a suggested tip amount for servicing the order based on the predicted tip amount.

Using a predictive model to identify context features causing above-average tip amount

Growing community of inventors

Chicago, IL, United States of America

Rucheng Xiao