Answer:
Collaborative filtering
Explanation:
This is one out of five on the Recommender system apart from most popular items, Association and Market Basket based Analysis, Content-based analysis, self and hybrid analysis where we use both content-based and collaborative based approach together. And the Recommender system is a very important topic in Data science. For this question, remember that Collaborative filtering focuses on user and various other user's choices which are mathematically alike to concerned users, and which we find with the study of a large data set. Thus, we can predict from our above study that what are going to be likes of concerned users, and at the item level, whether that item will be liked by the concerned user or not. And this is prediction, and we use this approach in Machine learning these days. For this question, and as mentioned in question the requirements, answer is Collaborative filtering.
Here is your answer:
The physical parts or components of a computer system is called "computer hardware." Computer hardware is what stores most of your computers applications that help it run more fluently for example the computers speakers are part of it's hardware since how it's used to help the person hear the computer and it helps the computer run smoothly.
Hope this helps!
<em>~Nonportrit</em>
Answer: Can Insanity is like a debt repayment, if you don't pay or feed it on time they will die/ interest rate of the bank will be more and more expensive.
Explanation:
