Ad Click Prediction Using Spark

2017-01-25

Description

Click prediction algorithms are essential & used extensively for sponsored search and real-time ad bidding. The current advertising scenario often makes the predictions redundant, if they are not near real-time.

In this webinar, we explain the application of Spark’s machine learning pipeline for predicting Click Through Rates (CTRs). We also cover the many challenges you may face & how to overcome them.

Key takeaways

Predictive algorithm: How to overcome challenges faced while running predictive algorithms on sparse data

Machine learning: What are the advantages of using Spark machine learning pipeline API for CTR prediction

Non-distributed frameworks: Find out the limitations of using non-distributed Machine
Learning frameworks

Speakers

Suresh Babu, Chief Revenue Officer, Imaginea
Sachin Tyagi, Head – Data Analytics, Imaginea

Ad Reference ID: 710588872dddefb8

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