public static double slopeOne(int userId, int productId)
{
var data = DataParser.write2DArray("./userData.data", ",");
List <int> products = DataParser.getProducts(data);
products.Remove(productId);
Dictionary <int, double> deviations = new Dictionary <int, double>();
foreach (var item in products)
{
deviations.Add(item, ItemItem.deviations(productId, item));
}
//double averageDeviation = deviations.Average((item) => item.Value);
//Console.WriteLine(averageDeviation);
int counter = 0;
double result = 0;
foreach (var deviation in deviations)
{
if (data[userId].ContainsKey(deviation.Key) == true)
{
counter++;
result += data[userId][deviation.Key] + deviation.Value;
}
}
return(result / counter);
}
public static double deviations(int productId1, int productId2)
{
var data = DataParser.write2DArray("./userData.data", ",");
var filteredData = DataParser.filterTwoProducts(data, productId1, productId2);
double result = 0f;
foreach (var user in filteredData)
{
result += ((user.Value[productId1]) - (user.Value[productId2]));
}
return(result / filteredData.Count());
}
public static void printData(int user1, int user2)
{
int[] users = { user1, user2 };
StrategyContext strategy1 = new StrategyContext(new Euclidian());
StrategyContext strategy2 = new StrategyContext(new Manhattan());
StrategyContext strategy3 = new StrategyContext(new Pearsson());
var data = DataParser.filterData(DataParser.write2DArray("./userData.data", ","), users[0], users[1], true);
var dataNoDel = DataParser.filterData(data, users[0], users[1], false);
var tuple = DataParser.splitDictionaries(data);
var tupleNoDel = DataParser.splitDictionaries(dataNoDel);
////////////////////// FRONTEND \\\\\\\\\\\\\\\\\\\\\\
Console.WriteLine("User " + users[0].ToString() + " -VS- User " + users[1].ToString());
Console.WriteLine("Euclidian - " + strategy1.algorithm(tuple).ToString());
Console.WriteLine("Manhattan - " + strategy2.algorithm(tuple).ToString());
Console.WriteLine("Pearsson - " + strategy3.algorithm(tupleNoDel).ToString());
Console.WriteLine();
}
static Dictionary <int, Dictionary <int, double> > getData()
{
return(DataParser.write2DArray("./userItem.data", ","));
//return DataParser.write2DArray_MovieLens("./ratings.csv");
}