Lyft, Inc.

Amy J Kim

Omar Khalid

Ehud Milo

Robert Anthony Farmer

Jacky Yi Han Lu

Richard Zhao

Akash Gaurav Shah

Gaurav Gupta

This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.

Using geocoded provider models to improve efficiency of a transportation matching system

A pet bowl assembly includes a first bowl including a first base and a first wall extending axially upwardly from the first base and a second bowl including a second base and a second wall extending axially upwardly from the second base. The bowl assembly also includes a lid including a lid base and a lip protruding downwardly from the lid base. The lip is configured for insertion in contact with the second wall such that the lid is configured for holding the second bowl in place inside the first bowl while an engagement of a lid engagement section of the lid with a first bowl engagement section of the first bowl removably connects the lid to the first bowl. The lid engagement section being on an outer circumferential surface of the lip and the first bowl engagement being on an inner circumferential surface of the first wall.

Portable pet food bowl assembly

Efficiency of a transportation matching system using geocoded provider models

Growing community of inventors

San Francisco, CA, United States of America

Amy J Kim