The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 07, 2020
Filed:
Apr. 07, 2017
Regression-tree compressed feature vector machine for time-expiring inventory utilization prediction
Airbnb, Inc., San Francisco, CA (US);
Spencer de Mars, San Francisco, CA (US);
Yangli Hector Yee, San Francisco, CA (US);
Peng Ye, Foster City, CA (US);
Fenglin Liao, San Francisco, CA (US);
Li Zhang, Palo Alto, CA (US);
Kim Pham, San Francisco, CA (US);
Julian Qian, San Francisco, CA (US);
Benjamin Yolken, San Francisco, CA (US);
Airbnb, Inc., San Francisco, CA (US);
Abstract
This disclosure includes systems for regression-tree-modified feature vector machine learning models for utilization prediction in time-expiring inventory. An online computing system receives a feature vector for a listing and inputs the feature vector and modified feature vectors into a demand function to generate demand estimates. The system inputs the demand estimates into a likelihood model to generate a set of request likelihoods, each request likelihood representing a likelihood that the time-expiring inventory will receive a transaction request at each of a set of test price and test times to expiration. The system further trains a regression tree model based on a set of training data comprising each of the request likelihoods from the set and the test price and test time period to expiration used to generate the demand estimate that was used to generate the request likelihood.