Question

Collaborative filtering-based recommender systems recommend items to a user based on:

a. popularity of the items.
b. the user's profile such as age, gender, and items purchased in the past.
c. functionalities of the items.
d. items purchased by other users who have similar preference with the user.

Answer 1

Collaborative filtering-based recommender systems recommend items to a user based on items purchased by other users who have similar preferences.

Step-by-step explanation:

Collaborative filtering-based recommender systems recommend items to a user based on the items purchased by other users who have similar preference with the user. This approach utilizes data about users' past interactions or behaviors to make recommendations. It does not rely on the popularity of items, the user's profile, or the functionalities of the items.