Mining the Eventbrite Social Graph for Recommending Events

A session at Strata 2012

Thursday 1st March, 2012

10:40am to 11:20am (PST)

Recommendation systems have become critical for delivering relevant and personalized content to your users. Such systems not only drive revenues and generate significant user engagement for web companies but also are a great discovery tool for users. Facebook’s newsfeed, Linkedin’s people you may know and Eventbrite’s event recommendations are some great examples of recommendation systems.

During this talk we will share the architecture and design of Eventbrite’s data platform and recommendation engine. We will describe how we mined a massive social graph of 18M users and 6B first degree connections to provide relevant event recommendations. We will provide details of our data platform, which supports processing more than 2 TB social graph data daily. We intent to describe how Hadoop is becoming the most important tool to do data mining and also discuss how machine learning is changing in presence of Hadoop and big data.

We hope to provide enough details that folks can learn from our experiences while building their data platform and recommendation systems.

About the speaker

This person is speaking at this event.
Vipul Sharma


Next session in Ballroom CD

11:30am Hadoop Analytics in Financial Services by Stefan Groschupf

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Strata 2012

United States United States, Santa Clara

28th February to 1st March 2012

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Time 10:40am11:20am PST

Date Thu 1st March 2012


Ballroom CD, Santa Clara Convention Center

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