Building Similarity Based Recommendation System

4.3

30 個評分

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1,559 人已註冊

在此指導項目中,您將:
2 hour
中級
無需下載
分屏視頻
英語(English)
僅限桌面

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.

您要培養的技能

  • Data Manipulation

  • cosine similarity

  • Recommender Systems

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