The Fifth Elephant 2017

On data engineering and application of ML in diverse domains

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How to engineer a personalization system that can handle Paytm scale

Submitted by Harinder Takhar (@harindertakhar) on Apr 4, 2017

This is a proposal requesting for someone to speak on this topic. If you’d like to speak, leave a comment.

When we say we value customer experience we meant it! When you have to personalize every pixel on the app, your standard caching techniques go out of window and you need very fast and scalable system that can generate content for users in unnoticeable time. In this talk we will share how did we build our real time personalization engine which evaluates and serves over 10 billion recommended products for different channels reliably. We will share how did we use akka clustering for building this , our learnings from use of elastic cache and more importantly how did this impact our design decisions for the next service we built.

Outline

When we say we value customer experience we meant it! When you have to personalize every pixel on the app, your standard caching techniques go out of window and you need very fast and scalable system that can generate content for users in unnoticeable time. In this talk we will share how did we build our real time personalization engine which evaluates and serves over 10 billion recommended products for different channels reliably. We will share how did we use akka clustering for building this , our learnings from use of elastic cache and more importantly how did this impact our design decisions for the next service we built.

Speaker bio

We will be deciding this once the talk is accepted.

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