Job category:Artificial Intelligence

Content-Based Recommendation Systems using JS

In this course, learners will dive into content-based recommendation systems, focusing on factorization machines. These approaches utilize item features and user profiles to make recommendations. The course provides hands-on coding examples to demonstrate how to develop content-based models that harness rich data for personalized recommendations.
JavaScript
NodeJS
5 lessons
22 practices
4 hours
Badge for Machine Learning Model Development,

Course details

Content Based Recommendations
Merging Arrays of Objects by Author ID
Enhancing Data Processing with Playtime Feature
Creating a Unified DataFrame for Music Recommendations

Previous CourseNext Course: Collaborative Filtering Techniques with ALS using JS

Turn screen time into skills time

Practice anytime, anywhere with our mobile app.
Download on the App StoreGet it on Google Play
Sign up

Join the 1M+ learners on CodeSignal

Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal