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Wednesday, October 17 • 3:05pm - 3:45pm
Ticket Search By Voice and NLP at Stubhub

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This session presents how voice search has enabled fans to discover not only events but also tickets at StubHub. Using AI for entity detection, entity disambiguation, ranking and understanding unstructured data, we are able to provide a rich and powerful experience. Combining homegrown NLP and external NLP libraries and services, we were able to productize SolrCloud and AI capabilities to discover best value tickets for a price range and seat location.

We will go over design and architecture of NLP system and query classifier to identify NLP vs normal search query. Voice search using mobile devices is a fast-growing driver of traffic for stubhub and e-commerce site search. We will share how it is helping fans to find right seats in shortest time and hence improve conversion, when they have a choice of many traditional filters to find tickets by attributes like price, quantity, venue section and seat location for aisle or handicap.

avatar for William Yu

William Yu

Software Engineer, StubHub
William Yu is a Software Engineer at StubHub who has been with the Search team for 1 year. He has 2+ years of experience in developing Java applications. At StubHub, he is works on query understanding and improving the search and suggestion experiences, and was also involved with... Read More →
avatar for Charles Zhang

Charles Zhang

Senior Engineering Manager Search and Catalog, StubHub
Charles Zhang is an senior engineering manager for Search and Catalog team at StubHub. He has 20+ years of experience in developing Java applications using open-source technology. At StubHub, he has design and architect distributed systems for processing large volumes of data and... Read More →

Wednesday October 17, 2018 3:05pm - 3:45pm EDT
Salon 6&7