The process employed is called collaborative filtering, which recommends items based on the behaviors of similar users. This method is different from content filtering, which relies on the characteristics of the items themselves. Services like Netflix and Amazon effectively use collaborative filtering for personalized recommendations. ;
The process described is known as collaborative filtering, which recommends items based on the preferences of similar users. This technique uses patterns of behavior among users to suggest personalized content. It contrasts with content filtering, which focuses on the characteristics of items themselves.
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