public void WriteInAFile(Dictionary <int, List <MyData> > finalList)
{
StreamWriter writetext = new StreamWriter("averages.txt");
for (int i = 0; i < finalList.Count; i++)
{
dataResult avgs = new dataResult(finalList.Values.ElementAt(i), number_top_jobs);
avgs.AverageForEachJob();
writetext.WriteLine("USER: "******"Job " + avgs.TopJobNames[k] + "\t" + avgs.Rating_average[k] + "\t" + avgs.Percentage_average[k]);
}
writetext.WriteLine("AVGS TOTAL\t" + avgs.Rating_total_avg + "\t" + avgs.Percentage_total_avg + "\n");
}
writetext.Close();
}
public void WriteInAFile(Dictionary<int, List<MyData>> finalList)
{
StreamWriter writetext = new StreamWriter("averages.txt");
for (int i = 0; i < finalList.Count; i++)
{
dataResult avgs = new dataResult(finalList.Values.ElementAt(i), number_top_jobs);
avgs.AverageForEachJob();
writetext.WriteLine("USER: "******"Job " + avgs.TopJobNames[k] + "\t" + avgs.Rating_average[k] + "\t" + avgs.Percentage_average[k]);
}
writetext.WriteLine("AVGS TOTAL\t" + avgs.Rating_total_avg + "\t" + avgs.Percentage_total_avg + "\n");
}
writetext.Close();
}
static void Main(string[] args)
{
int num_jobs_init;
int num_users_init;
int num_features;
int user_number = 1;
//Reading the file to get the size of lines and columns of R and Y,
//which will be used in training colloborative filtering.
using (TextReader readerR = File.OpenText("C:/Users/larissaf/Desktop/files/Y.txt"))
{
num_jobs_init = 0;
string line = readerR.ReadLine();
string[] temp = line.Split('\t');
num_users_init = temp.Length;
while (line != null)
{
line = readerR.ReadLine();
num_jobs_init++;
}
readerR.Close();
}
//File that is going to be written with the Top ten jobs and ratings and similarity for all users
StreamWriter writetext = new StreamWriter("results.txt");
//Dictionary that contains a list of top ten jobs compared with other jobs for each user
Dictionary<int, List<MyData>> finalList = new Dictionary<int, List<MyData>>();
//consider that we have 100 users (we can ask how may and change the while-condition)
while (user_number <= 100)
{
//Now we read R and Y from theirs files (-1 because I will remove the chosen user from the matrixes)
double[,] Y = new double[num_jobs_init, num_users_init - 1];
double[,] R = new double[num_jobs_init, num_users_init - 1];
// Movie rating file for a user
double[,] my_ratings = new double[num_jobs_init, 1];
//reading Y_training
using (TextReader readerY = File.OpenText("C:/Users/larissaf/Desktop/files/Y.txt"))
{
int i = 0;
string line = readerY.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
int k = 0;
for (int j = 0; j < num_users_init; j++)
{
if (j != (user_number - 1))
{
Y[i, k] = Convert.ToDouble(temp[j]);
k++;
}
else
my_ratings[i, 0] = Convert.ToDouble(temp[j]);
}
line = readerY.ReadLine();
i++;
}
readerY.Close();
}
//reading R_training
using (TextReader readerR = File.OpenText("C:/Users/larissaf/Desktop/files/R.txt"))
{
int i = 0;
string line = readerR.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
int k = 0;
for (int j = 0; j < num_users_init; j++)
{
if (j != (user_number - 1))
{
R[i, k] = Convert.ToDouble(temp[j]);
k++;
}
}
line = readerR.ReadLine();
i++;
}
readerR.Close();
}
//reading X to get the number of features
using (TextReader readerX = File.OpenText("C:/Users/larissaf/Desktop/files/X.txt"))
{
num_features = 0;
string line = readerX.ReadLine();
if (line != null)
{
string[] temp = line.Split('\t');
num_features = temp.Length;
}
readerX.Close();
}
//allocating the X matriz
double[,] X = new double[num_jobs_init, num_features];
//reading X_training
using (TextReader readerX = File.OpenText("C:/Users/larissaf/Desktop/files/X.txt"))
{
int i = 0;
string line = readerX.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
for (int j = 0; j < num_features; j++)
{
X[i, j] = Convert.ToDouble(temp[j]);
}
line = readerX.ReadLine();
i++;
}
readerX.Close();
}
/*
using (TextReader reader_movies_ratings = File.OpenText("C:/Users/larissaf/Desktop/files/one_user_rating.txt"))
{
int i = 0;
string line = reader_movies_ratings.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
my_ratings[Convert.ToInt32(temp[0]) - 1, 0] = Convert.ToInt32(temp[1]);
line = reader_movies_ratings.ReadLine();
i++;
}
reader_movies_ratings.Close();
}*/
// Job names
string[] job_list = new string[num_jobs_init];
using (TextReader reader_movie_list = File.OpenText("C:/Users/larissaf/Desktop/files/job_names.txt"))
{
string line = reader_movie_list.ReadLine();
int i = 0;
while (line != null)
{
job_list[i] = line;
line = reader_movie_list.ReadLine();
i++;
}
reader_movie_list.Close();
}
////////////////////////////////////////////Matlab calculations///////////////////////////////////////////
// Create the MATLAB instance
MLApp.MLApp matlab = new MLApp.MLApp();
//this is used to do not show the matlab window
//matlab.Visible = 0;
// Change to the directory where the functions are located --- always use the desktop to make tests to avoid problems with pathway
matlab.Execute(@"cd C:\Users\larissaf\Desktop\files");
// Define the output to print the final result
object result_movies_search = null;
matlab.Execute("my_ratings");
// Movie erecommendations script
matlab.Feval("scriptGeneration", 6, out result_movies_search, my_ratings, job_list, Y, R, X, num_features);
object[] res = result_movies_search as object[];
int len = ((double[,])res[0]).Length;
//for each one of the users, we will have a list containg all the comparassions between the top ten jobs for him, and
//the other jobs (that had similarity >= 70%)
List<MyData> mylist = new List<MyData>();
MyData aux;
for (int i = 0; i < len; i++)
{
//adding a new element in the list for each user.
aux = new MyData(job_list[(int)(((double[,])res[0])[i, 0]) - 1], (((double[,])res[1])[i, 0]), job_list[(int)(((double[,])res[2])[i, 0]) - 1], (((double[,])res[3])[i, 0]), (((double[,])res[4])[i, 0]));
mylist.Add(aux);
writetext.Write(job_list[(int)(((double[,])res[0])[i, 0]) - 1] + "\t");
writetext.Write((((double[,])res[1])[i, 0]) + "\t");
writetext.Write(job_list[(int)(((double[,])res[2])[i, 0]) - 1] + "\t");
writetext.Write((((double[,])res[3])[i, 0]) + "\t");
writetext.Write((((double[,])res[4])[i, 0]) + "\t");
writetext.Write(user_number + "\n");
}
//adding the list at the Dictionary for each user
finalList.Add(user_number, mylist);
user_number++;
} // while ends
writetext.Close();
//creating a instance of an object for user 1: (maybe send null)
dataResult avgs = new dataResult(null, 10);
avgs.WriteInAFile(finalList);
Console.WriteLine("DONE");
// Wait until fisnih
Console.ReadLine();
}