返回到 Building Similarity Based Recommendation System
學生對 Coursera Project Network 提供的 Building Similarity Based Recommendation System 的評價和反饋
30 個評分
課程概述
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.
熱門審閱
篩選依據：
1 - Building Similarity Based Recommendation System 的 6 個評論（共 6 個）
創建者 Abekah C K
•2020年12月5日
創建者 Angelina K
•2021年1月19日
創建者 61_Mayank S
•2020年12月12日
創建者 DORA M B
•2021年1月20日
創建者 Kat R
•2021年8月6日
創建者 Wafa A
•2020年10月11日
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