Skip main navigation

Hurry, only 3 days left to get one year of Unlimited learning for £249.99 £174.99. New subscribers only. T&Cs apply

Find out more

Share your thoughts about similarity measures used in content-based filtering.

What are some similarity measures used in content-based filtering?

In data science, the similarity measure is a method of measuring how data samples are related or closed to each other. The similarity measure is essential for recommender systems. Please refer to the article at https://www.engati.com/glossary/similarity-measure and the video at https://youtu.be/08D_KKk3wSE. Share your thoughts about similarity measures used in content-based filtering.

This article is from the free online

Recommender Systems in Python

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now