A.Singular Value Decomposition (SVD)

B.Matrix factorization

C.Content-based filtering

D.Collaborative filtering

A.Generating synthetic data

B.Assessing the model's generalization performance

C.Reducing the dataset size

D.Splitting the dataset into training and testing sets

A.To assess data quality

B.To evaluate the model's accuracy

C.To provide information on the model's development, architecture, and usage

D.To create synthetic data

A.Principal Component Analysis (PCA)

B.Linear Regression

C.Decision Trees

D.K-Means

A.The past behavior or preferences of users

B.The characteristics of the items being recommended

C.The popularity of items

D.Item-based clustering