Evaluation Measures for Search and Recommender Systems
Learners:
Instructor: James Briggs
Duration: 1.00
This course provides an introduction to evaluation measures for search and recommender systems. It covers topics such as offline metrics, dataset and retrieval 101, [email protected], MRR, [email protected], [email protected], and [email protected]. It also provides an overview of the pros and cons of each evaluation measure. The course is taught in Python and provides a comprehensive overview of the evaluation measures used in search and recommender systems. It is perfect for anyone looking to gain a better understanding of these systems and how to evaluate them.▼
Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [July 27th, 2023]
This course provides an introduction to evaluation measures for search and recommender systems. It covers offline metrics, dataset and retrieval 101, [email protected], MRR, MRR in Python, [email protected], [email protected] in Python, [email protected], and the pros and cons of [email protected]. The course concludes with final thoughts. Python programming language is used throughout the course.
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