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  • 1. Introduction
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The idea of the recommendation engine is quite simple and built upon four main steps:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  • (1) A User visits a web shop and navigates through the shop and leaves some foot prints. The most popular foot prints are selecting and purchasing of products;
  • (2) This information is sent to the event tracker service of the recommendation engine every time these events happen;
  • (3) The recommendation engine accumulates the tracked events, categorizes them and calculates recommendations for every product and every user in the web-shop;
  • (4) All recommendations are available over the recommender service. They can be fetched and presented to users during their sessions or sent out as e.g. a newsletter.

Visit our developer space to learn how to integrate recommendation engine into your webshop or newsletter.
1. Tracking Events
2a. Fetching Recommendations (deprecated)

Next Chapter

2. Recommendation Use Cases

 

 

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