COM739: Big Data and Infrastructure Programming - IT Assignment Help

Assignment Task:

Task:

Question
Write a MapReduce program in Spark that implements a simple “People You Might Know” social network friendship recommendation algorithm. The key idea is that if two people have a lot of mutual friends, then the system should recommend that they connect with each other.
Dataset
The datasets for this question is present in BBL under the directory “Assessment/CW1”. The file name is “Dataset”.
The data file contains the adjacency list and has multiple lines in the following format:
<User><TAB><Friends>
Here, <User> is a unique integer ID corresponding to a unique user and <Friends> is a comma-separated list of unique IDs corresponding to the friends of the user with the unique ID
 <User>. Note that the friendships are mutual (i.e., edges are undirected): if A is friend with B then B is also friend with A. The data provided is consistent with that rule as there is an explicitentry for each side of each edge.
 

Algorithm
Let us use a simple algorithm such that, for each user U, the algorithm recommends N = 10 users who are not already friends with U, but have the largest number of mutual friends in common with U.

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