Show how to use a factorization machine to perform undirected link prediction in a social network with content.

1.       Show how to use a factorization machine to perform undirected link prediction in a social network with content.

2.       Show how to convert a link prediction problem with structure and content into a link prediction problem on a derived graph.

3.       Suppose that you have a user-item ratings matrix with numerical/missing values. Furthermore, users have rated each other’s trustworthiness with binary/missing values. (a) Show how you can use shared matrix factorization for estimating the rating of a user on an item that they have not already rated. (b) Show how you can use factorization machines to achieve similar goals as (a).

find the cost of your paper

Suggest a modification of the binary search algorithm that emulates this strategy for a list of names.

1. Suppose that a list contains the values 20 44 48 55 62 66 74 88 93 99 at index positions 0 through 9. Trace the values of the variables….

Explain why insertion sort works well on partially sorted lists.

1. Which configuration of data in a list causes the smallest number of exchanges in a selection sort? Which configuration of data causes the largest number of exchanges? 2. Explain….

Draw a class diagram that shows the relationships among the classes in this new version of the system

Jack decides to rework the banking system, which already includes the classes BankView, Bank, SavingsAccount, and RestrictedSavingsAccount. He wants to add another class for checking accounts. He sees that savings….