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Report Dataiku How to Drive Serendipitous Discovery with Recommendation Engines

How to Drive Serendipitous Discovery with Recommendation Engines

Recommendation engines are built to predict what users might like.

Offering recommendations to users directly or working behind the scenes, recommender systems play a key role in increasing user engagement! While building a simple recommendation engine can be straightforward, the real challenge is to build one where the business sees real value from its output.

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Download this guide and receive a high-level overview of recommendation engines, how they’re built, and how they can be used to improve businesses across all industries. As well providing code and practical examples for execution, discover:

  • The different types of recommendation engines
  • How to build a simple recommendation engine

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