Airbnb, Inc.

David Michael Holtz

Nelson Aurel Gauthier

Lenny Rachitsky

Vaughn Quoss

Martin Anh Dung Nguyen

Daniel Nathan Hill

James Allen Ostrowski, Ii

Li Zhang

Yangli Hector Yee

Bar Ifrach

This disclosure includes methods for predicting demand based on the price of a time-expiring inventory. An online system provides a connection between a manager of a time-expiring inventory and a plurality of clients. The online system provides a listing for the manager's time-expiring inventory to clients on the online system. The manager specifies the price of the time-expiring inventory in the listing. A demand function predicts the demand for the time-expiring inventory based on features of the listing and the time-expiring inventory. The online system determines a likelihood of receiving a request for the time-expiring inventory from a client on the online system based on the predicted demand. The online system may use the determined likelihoods to provide to the manager information about how changes in the price of the listing are likely to affect the demand for the time-expiring inventory.

Demand prediction for time-expiring inventory

Methods and systems for enforcing host standards in a reservation system. In one embodiment, a reservation system provides two methods of communication between a potential guest and a host, hard communications and soft communications. The reservation system associates both types of communication with threads, each thread associated with the host and an associated reservation. The reservation system determines suspension metrics for each host based on the communications of the threads they are associated with. When the suspension metrics associated with a host satisfy one or more suspension criteria, the reservation system issues a suspension to the host.

Host standards for providing listings

Growing community of inventors

San Francisco, CA, United States of America

David Michael Holtz