Data Science Fundamentals: Matching

This is a continuation of a series of Data Science Fundamentals posts.  In this post I will briefly describe Matching.

Matching, also known as Similarity Matching, is a technique of using data about objects to identify “like” objects. For example, Amazon or Walmart may use matching to identify “like” customers based on their browsing, liking, and purchasing history.

This information can then be used to provide product recommendations to these customers.


Product recommendations based on browsing and purchase history, and similarity matching

The results of Matching can be used for Classification and Regression; and Matching underlies Clustering.  These techniques were described in previous posts.


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: