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学生对 Coursera Project Network 提供的 Building Similarity Based Recommendation System 的评价和反馈

30 个评分


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....



1 - Building Similarity Based Recommendation System 的 6 个评论(共 6 个)

创建者 Abekah C K

Dec 5, 2020

创建者 Angelina K

Jan 19, 2021

创建者 61_Mayank S

Dec 12, 2020

创建者 DORA M B

Jan 20, 2021

创建者 Kat R

Aug 6, 2021

创建者 Wafa A

Oct 11, 2020