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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
