Building Similarity Based Recommendation System

4.3

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在此指导项目中,您将:
2 hour
中级
无需下载
分屏视频
英语(English)
仅限桌面

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.

您要培养的技能

  • Data Manipulation

  • cosine similarity

  • Recommender Systems

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

指导项目工作原理

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在分屏视频中,您的授课教师会为您提供分步指导

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