In the 21st century the currency is not Data. It’s the Attention of People.

Recommendation systems are built to predict what users might like, especially when there are lots of choices available.

This post gives a deep dive into the architecture and issues experienced during the deployment of DLRM model. This algorithm was open-sourced by Facebook on 31st March 2019.

It’s a part of the popular MLPerf Benchmark.

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DEEP LEARNING RECOMMENDATION MODEL ARCHITECTURE ( DLRM )

Why should you consider using DLRM ?

This paper attempts to combine 2 important concepts that are driving the architectural changes in recommendation systems :

  1. From the view of Recommendation Systems, initially content filtering systems was employed which matched users to products based on their preferences. …

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Nishant Kumar

Exploring Data Science

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