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.
If you're a zybooks user.
itemsOSS.print(userItem + " ");
userItem = itemCharStream.toString();
Answer:
import java.util.*;
import java.lang.*;
import java.io.*;
class Codechef
{
public static void main (String[] args)
{
Stack<Integer> mat=new Stack<Integer>();
mat.add(1);
mat.add(3);
mat.add(6);
System.out.println(mat);
Object [] a=mat.toArray();
for(int i=0;i<a.length;i++)
System.out.println(a[i]);
}
}
Explanation:
An integer type stack st is created;
1,3 and 6 are added to the stack.
printing the contents of the stack.
array a is created form the stack using toArray().
Then printing the array.
1. Isn't fluent in "geek language"
2. Doesn't know how to use a web browser and it's features
3. Doesn't understand what a computer is and how it works
4. Doesn't know the basic parts of computer hardware
5. Doesn't know how to use a computer or any other electronics
Hannah dakota's experiment obtained reaction time data using a factorial design with two independent variables. she should use a Two-way ANOVA to evaluate her data. <span>The two independent variables in a two-way ANOVA are called factors. The idea is that there are two variables, factors, which affect the dependent variable.</span>
