Can we / should we use machine learning techniques to fight back against Scalpers and Touts.
Here is a description of the problem we all know.
From the NYC Times about Halmolton and Harry Potter
https://www.nytimes.com/2017/02/12/theater/hamilton-harry-potter-scalping-broadway.html
About Concerts
http://musically.com/2016/10/05/analysis-whats-the-real-cost-of-secondary-ticketing/
Can we use Machine Learning Techniques to in real time get in the way of scalpers and touts. What would that look like?
Dice.fm is claiming they are doing something in this area
“If you sell your tickets on Dice, none of them will appear on the big reselling websites,” says Phil Hutcheon, founder and CEO of Dice. “We always check and we have machine learning-based touting procedures. When you do sign up to Dice, you go into an agreement that you are not an arsehole. For those people looking to hoover up tickets, it’s pointless doing it on Dice. By making it mobile and by limiting the ticket, by having those cross-checks and by also using technology, we have been able to stop any Dice tickets from being resold.”
Not clear what their techniques is? Anyone know. Has anyone tried this type of thing?
Hi Tom,
Hamilton is coming, so this is a topic that we've been talking about a lot here at SCFTA! Distil Networks is a bot mitigation company we will be taking a close look, and machine learning is a part of their strategy.
This link has an article and video that describes how they use machine learning. It isn't a deep-dive, but still interesting.
https://help.distilnetworks.com/hc/en-us/articles/219365567-Machine-Learning-Overview
Thanks,David
Hi Tom, Hamilton is coming, so this is a topic that we've been talking about a lot here at SCFTA! Distil Networks is a bot mitigation company we will be taking a close look, and machine learning is a part of their strategy. This link has an article and video that describes how they use machine learning. It isn't a deep-dive, but still interesting. https://help.distilnetworks.com/hc/en-us/articles/219365567-Machine-Learning-Overview Thanks, David From: Tom Brown <bounce-tombrown3568@tessituranetwork.com> Sent: 3/17/2017 9:29:12 AM Can we / should we use machine learning techniques to fight back against Scalpers and Touts. Here is a description of the problem we all know. From the NYC Times about Halmolton and Harry Potter https://www.nytimes.com/2017/02/12/theater/hamilton-harry-potter-scalping-broadway.html About Concerts http://musically.com/2016/10/05/analysis-whats-the-real-cost-of-secondary-ticketing/ Can we use Machine Learning Techniques to in real time get in the way of scalpers and touts. What would that look like? Dice.fm is claiming they are doing something in this area “If you sell your tickets on Dice, none of them will appear on the big reselling websites,” says Phil Hutcheon, founder and CEO of Dice. “We always check and we have machine learning-based touting procedures. When you do sign up to Dice, you go into an agreement that you are not an arsehole. For those people looking to hoover up tickets, it’s pointless doing it on Dice. By making it mobile and by limiting the ticket, by having those cross-checks and by also using technology, we have been able to stop any Dice tickets from being resold.” Not clear what their techniques is? Anyone know. Has anyone tried this type of thing?
Thanks, David
From: Tom Brown <bounce-tombrown3568@tessituranetwork.com> Sent: 3/17/2017 9:29:12 AM
Hi, David,
We're experiencing some scalping issues of our own and have begun preliminary talks about using machine learning. Did you end up using Distil Networks or any other kind of bot mitigation company?
Best,
Lisa
Here is a bit more.
www.gartner.com/.../reprints
Hi Lisa - yes, we moved forward with Distil. We are fine-tuning the configuration as we head towards our Hamilton on-sale in early 2018. Feel free to email me at dfrederick@scfta.org if you want to talk more about this. Thanks!