Offline Recommendation systems option B
Because Recommendation systems produce a list of two ways
1. through collaborative filtering
or
2. through content-based filtering
Answer:
B.Offline Recommendation systems are typically based on algorithms that are comprised of content based and collaborative filtering techniques.
Explanation:
Recommendation systems are software techniques that provide suggestions for items to recommend to a user.
The suggestions provided in the recommendation systems are intended to assist users in various decision-making processes, as well as which items to buy, which music to listen to, and which news to read.
In the content-based recommendation system the focus is on item properties. The similarity of a recommended item will be measured by the similarity to the properties of the item that the user has previously purchased or searched for.
In the recommendation system based on collaborative filtering the focus is on the relationship between users and items.
The similarity of items is determined by the similarity of their rating by users who have rated the same items, that is, if users have rated items with similar grades, they probably have similar tastes and accept recommendations based on this criterion.
