Tech
The Work Behind “Recommended for You”
My journey into recommendation systems started with curiosity: how do large companies decide what to recommend to each user? While exploring their approaches, I wanted to understand how similar ideas could be applied to associations and their members.
Exploring the approaches
I started by learning about the different ways recommendations can be generated:
Content-based filtering : Suggest items based on their similarity to a person’s interests or previous choices.
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