From the course: Applied AI for Human Resources
Join today to access over 24,900 courses taught by industry experts.
User item recommendations - Python Tutorial
From the course: Applied AI for Human Resources
User item recommendations
- [Instructor] In this video, let us explore how user item recommendation techniques can be used to recommend courses to employees. User item recommendations is a collaborative filtering technique used in machine learning. This technique first identifies users who are similar to each other based on the items they have in common. Then, for a given user, it recommends items that other similar users like or bought. This technique is used in a number of eCommerce websites to generate product recommendations for users. There are multiple implementations available to do user item recommendations. In this use case, we will do the same using deep learning and word embeddings. Let's do a quick review of word embeddings. Word embedding is a language modeling and feature learning technique that is becoming more and more popular in deep learning, especially with natural language processing. It converts text into equal in numbers and…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.