Which approach in recommender systems involves recommending items by finding users who are similar to the target user?
- Collaborative Filtering
- Content-Based Filtering
- Hybrid Filtering
- Matrix Factorization
Collaborative Filtering is a recommendation approach that identifies users similar to the target user based on their interactions and recommends items liked by those similar users. It relies on user-user similarity for recommendations.
Loading...
Related Quiz
- A company wants to deploy a deep learning model in an environment with limited computational resources. What challenge related to deep learning models might they face, and what potential solution could address it?
- In Data Science, _______ is the process of cleaning and structuring the data to make it suitable for analysis.
- What is the primary goal of Exploratory Data Analysis (EDA)?
- Hybrid recommender systems combine the features of both _______ and _______ methods.
- When evaluating models for a multi-class classification problem, which method computes the average metric score for each class, considering the other classes as the negative class?