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The Road Less Taken in Media: How a Smart(er) Engine Could Be the Competitive Edge

Cover

Media companies focused on creating digital viewing experiences are standing at a fork in the road in regards to recommendation engines, a critical component of any user experience.

Frontrunners in the space have put a lot of thought and care into creating their engines, and are benefiting from the results. However, most recommendation engines fall short, as does their value to the customer and the brand.

Download this white paper to learn why building a personalized recommendation engine requires an approach that utilizes multiple processes, and take a closer look at the machine learning behind these engines.

Vendor:
SoftServe
Posted:
14 Feb 2019
Published:
14 Feb 2019
Format:
PDF
Length:
5 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.