Which of the following algorithms is the least expensive and most scalable? User-based collaborative filtering User-to-Item collaborative filtering Item-to-Item collaborative filtering None of the listed options
Added by Miguel P.
Step 1
- User-based collaborative filtering: This algorithm recommends items based on the preferences of similar users. It requires calculating similarities between users, which can be computationally expensive as the number of users increases. - User-to-Item Show more…
Show all steps
Your feedback will help us improve your experience
Akash M and 98 other AP CS educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Discuss the similarity between a k-nearest neighbor classifier in traditional machine learning and the user-based collaborative filtering algorithm. Describe an analogous classifier to item-based collaborative filtering.
Akash M.
Which of the following four modeling algorithms is least vulnerable to outlier bias? (Select one) A. Linear Regression B. Naive Bayes C. k-NN D. GLM
Sri K.
Madhur L.
Recommended Textbooks
Computer Science and Information Technology
Introduction to Programming Using Python
Computer Science - An Overview
Transcript
Watch the video solution with this free unlock.
EMAIL
PASSWORD