Invention Grant
- Patent Title: Machine-learned partial ticket value prediction
-
Application No.: US17109102Application Date: 2020-12-01
-
Publication No.: US11710143B2Publication Date: 2023-07-25
- Inventor: Marc Eric Lore
- Applicant: UpTix, Inc.
- Applicant Address: US CA Long Beach
- Assignee: Jump Platforms, Inc.
- Current Assignee: Jump Platforms, Inc.
- Current Assignee Address: US CA Long Beach
- Agency: Fenwick & West LLP
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06Q10/00 ; G06Q30/0201 ; G06F17/18 ; G06N20/00 ; G06Q10/02

Abstract:
A ticket exchange server is configured to distribute tickets to an event based on predicted attendance. The ticket exchange server accesses a set of training data describing statistics of and attendance during a historical event for a plurality of historical events. Using the training data, the ticket exchange server trains a machine-learned model, which is configured to predict a likelihood of a seat at a stadium being vacant during an event based on real-time statistics. During an event at the stadium, the ticket exchange server detects a vacant seat associated with a first ticket of a first user. The ticket exchange server determines a value of a second ticket for the vacant seat at least in part by applying the machine-learned model to real-time statistics of the event and distributes the second ticket to a second user.
Public/Granted literature
- US20220172238A1 Machine-learned Partial Ticket Value Prediction Public/Granted day:2022-06-02
Information query