Building a Location Based Social Graph in Spark at InMobi

A session at Spark Summit 2015

Tuesday 16th June, 2015

1:30pm to 2:00pm

At InMobi daily we receive data about 800 million unique users and in-house hadoop and spark platforms help us get meaningful insights from this data to drive a better targeted advertising model. This particular talk presents the architecture, data insights and the visualization of a 'Location Based Social Graph' we have built, pivoting around bssid, lat-long, essid of ad requests. Spark GraphX has enabled us to generate interesting network statistics at scale like degree distribution and connected components per geography and filter out the noisy edges. We are in the process of developing a home/work/public classification model to better understand nature of social cliques and the trending apps in each clique. In future we hope to overlay the graph with user attributes like demographics, app-affinity and segment-membership to derive meaningful relationships between users like Friends, Families or Colleagues and enable better CVR prediction based on look-alike modelling.

About the speakers

This person is speaking at this event.
Ian Anderson

Principal Research Scientist at InMobi bio from LinkedIn

This person is speaking at this event.
Seinjuti Chatterjee

Technical Lead at InMobi bio from LinkedIn

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Time 1:30pm2:00pm PST

Date Tue 16th June 2015

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