Search logs + machine learning: = autotagged inventory

"For ecommerce applications, matching users with the items they want is the name of the game. If they can't find what they want, then how can they buy anything? John Berryman takes a deep dive into the problem space and Eventbrite's approach. He explores how the company gathered train...

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Beteilige Person: Berryman, John 1980- (VerfasserIn)
Format: Elektronisch Video
Sprache:Englisch
Veröffentlicht: [Place of publication not identified] O'Reilly Media 2020
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/0636920372349/?ar
Zusammenfassung:"For ecommerce applications, matching users with the items they want is the name of the game. If they can't find what they want, then how can they buy anything? John Berryman takes a deep dive into the problem space and Eventbrite's approach. He explores how the company gathered training data from its search and click logs, and how it built and refined the model. You'll see the output of the model and both the positive results of Eventbrite's work, as well as the work left to be done. You'll leave with some new ideas to take back to your business."--Resource description page
Beschreibung:Title from resource description page (viewed July 21, 2020)
Umfang:1 Online-Ressource (1 streaming video file (37 min., 40 sec.))