A Social$-$Network Based Recommendation System for last.fm

In this assignment, you are asked to design and implement a social network$-$based

recommender system for last.fm$.$

You are given the following dataset

Dataset: data.zip file contains social networking, tagging, and music artist listening information

from a set of $2$K users from Last.fm online music system.

$$ There are $1892$ users and $17632$ artists

$$ There are $12717$ user$-$friend relations

$$ There are $92834$ user$-$listened artist relations $[$user$,$ artist, listeningCount$]$

Files:

$$ artists.dat: This file contains information about music artists listened and tagged by the

users. url and pictureURL will not be used in the assignment.

File format: id $\backslash$t name $\backslash$t url $\backslash$t pictureURL

$$ user$\_$artists.dat: This file contains the artists listened by each user. It also provides a

listening count for each $[$user$,$ artist$]$ pair.

File format: userID $\backslash$t artistID $\backslash$t weight

$$ user$\_$friends.dat: These files contain the friend relations between users in the database.

File format: userID $\backslash$t friendID

Functional Requirements:

$$ Create a class, called LastFMRecommender.java. The class processes the data sets

and provides the following public functionalities:

o listFriends$($int user$)$: prints the list of friends of the given user

o commonFriends$($int user$1,$ int user$2)$: prints the user$1$s friends in common

with user$2$

o listArtists$($int user$1,$ int user$2)$: prints the list of artists listened by both users

o listTop$10()$: prints the list of top $10$ most popular artists listened by all users

o recommend$10($int user$)$: recommends $10$ most popular artists listened by the

given user and his$/$her friends.

$$ Create a Junit test class to test the methods in LastFMRecorder.java