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Вернуться к Building Similarity Based Recommendation System

Отзывы учащихся о курсе Building Similarity Based Recommendation System от партнера Coursera Project Network

Оценки: 24
Рецензии: 5

О курсе

Welcome to this 1-hour project-based course on Building Similarity Based Recommendation System. In this project, you will learn how similarity based collaborative filtering recommendation systems work, how you can collect data for building such systems. You will learn what are some different ways you to compute similarity between users and recommend items based on products interacted by other similar users. You will learn to create user item interactions matrix from the original dataset and also how to recommend items to a new user who does not have any historical interactions with the items. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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1–5 из 5 отзывов о курсе Building Similarity Based Recommendation System

автор: Angelina K

19 янв. 2021 г.

it 's not possible to insert backets wich mach book into Jupiter notebook session the session is soo short, never 120. min, its not worth the money

автор: Abekah C K

5 дек. 2020 г.

Very nice projects! It gave me new insights about how to solve other problems

автор: 61_Mayank S

12 дек. 2020 г.


автор: DORA M B

20 янв. 2021 г.

It is a good introduction to collaborative filtering.

автор: Wafa A

11 окт. 2020 г.