Collaborative filtering

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What are the new trends in personalization in marketing?
It's amazing how the correct management of data can allow us to generate totally individual campaigns, starting with the most beloved one right now:

Product recommendation engines
Imagine the world as it was before: you went to the store near your house and you met “Don José” the owner of the business who has run it for years and who also saw you grow.

Like every Thursday night, you go for the same products to fill your pantry and “Don José” as a good salesman already knows what you like and recommends what to take.

Well now, “Don José” is an algorithm that understands, through machine learning, your purchasing behaviors, therefore, every time you add a product to the cart, it has more material to understand what you like and what you might like.

Product recommendation engines can be found in germany phone number list virtually any online store.

They know very well about cross-selling and upselling , just like “Don José”.

Product recommendation engines are a type of information filtering system that attempts to predict a user's preference or rating for a product.

There are several types of recommendation engines, here are the most commonly used ones:


It is a type of filtering that allows you to group several user profiles together and show them the same information.