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TensorFlow for Recommendation Engines and Customer Feedback Analysis

Sophie Turol


According to Ram Ramanathan of Google, there are three key scenarios in e-commerce that can be improved with machine learning: finding products of interest, recommending relevant items, and analyzing customer feedback. This may be applied to a variety of industries, including retail, telco, etc.

At Google Cloud Next 2017 in San Francisco, Ram overviewed how TensorFlow and Google Cloud Machine Learning can help to implement these scenarios. The session also featured a demo of a recommendation engine built for a TV services provider, suggesting relevant programs.


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