Search logs + machine learning = autotagged inventory / John Berryman.

Format:

Conference/Event

Video

Author/Creator:

Berryman, John, 1980- on-screen presenter.

Conference Name:

O'Reilly Strata Data Conference (2019 : New York, New York), issuing body.

Language:

English

Subjects (All):

Electronic data processing--Congresses.

Electronic data processing.

Data structures (Computer science)--Congresses.

Data structures (Computer science).

Cloud computing--Congresses.

Cloud computing.

Artificial intelligence--Congresses.

Artificial intelligence.

Physical Description:

1 online resource (1 streaming video file (37 min., 40 sec.)) : digital, sound, color

Other Title:

Search logs plus machine learning equals autotagged inventory

Place of Publication:

[Place of publication not identified] : O'Reilly Media, 2020.

Summary:

"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.

Participant:

Presenter, John Barryman.

Notes:

Title from resource description page (viewed July 21, 2020).

This session is from the 2019 O'Reilly Strata Conference in New York, NY.

OCLC:

1176539574