Home / Business & Management / Recommender Systems in Python / Share your thoughts about similarity measures used in content-based filtering.
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.
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