Watch our recorded MeetUp: Data-Driven Approach to Search Relevance at Ticketmaster

After companies have their search functionality working, they often find themselves with search quality issues that prevents their users from finding what they are looking for. This can lead to decrease in conversion, engagement and loyalty. Highly customer-focused enterprises build sophisticated data-driven machinery to measure and optimize relevance. Companies without that focus are unable to reap the benefits of a data-driven search approach.

In this video, Ticketmaster will deep dive into how they are moving towards a data-driven search culture and creating a world class search experience for their live entertainment fans.

Speaker Bios

Eric Melz is the Head of Engineering at Measured Search. He has over 20 years of experience working in tech, including roles at Google, LinkedIn, and Oracle. His interests include Search, Machine Learning, Cloud Computing and Automation. Currently, he is focused on building technologies to bring search relevance improvements to the enterprise.

Praveena Subrahmanyam is a Senior Architect and the search lead at Ticketmaster. She has over a decade of experience building consumer facing software systems. Her interests include architecture, self sustaining systems and functional programming. Currently, she is focused on making a world class search experience for Ticketmaster's live entertainment fans.