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Recommendation-Engine

Task: From a set of items in promotion, recommend users the items based on their past purchases

Let's divide the task into two parts:

  1. Where I don't know how well can I evaluate with given dataset. I read the content-based recommendation engines are the most common. So I start with taking Product name similarity between past purchases and items in promotion!

  2. In this part, I will create a past transaction count based recommender system.

Part I is complete now!

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