Content-based Recommender Systems

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RN

May 26, 2020

Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!

MJ

Jun 04, 2020

In peer graded assignments, if someone is grading any peer below passing criteria then it must be compulsory to let the learner know his mistakes or shortcomings because of which he does not graded.

Из урока
Recommender Systems
In this module, you will learn about recommender systems. First, you will get introduced with main idea behind recommendation engines, then you understand two main types of recommendation engines, namely, content-based and collaborative filtering.

Преподаватели

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    SAEED AGHABOZORGI

    Ph.D., Sr. Data Scientist
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    Joseph Santarcangelo

    Ph.D., Data Scientist at IBM

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