Aug. 11, 2023, 3:53 a.m. | Pratikaher

Towards Data Science - Medium towardsdatascience.com

Evaluation Metrics for Recommendation Systems — An Overview

Understanding the purpose and functionality of common metrics in ML packages

Recently, while experimenting with a recommendation system project, I found myself using a variety of evaluation metrics. So I compiled a list of metrics that I found helpful and some other things to consider while evaluating recommendation systems. These metrics are commonly found in ML packages, yet understanding their purpose and functionality is essential.

Recall @K

Recall@K gives a measure of …

data science evaluation evaluation-metric evaluation metrics found list machine learning math metrics overview project recommendation recommendation systems recommender systems systems

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote