static void ItemItemStart()
{
FileReader fReader = new FileReader();
Dictionary<int, UserPref> userList = fReader.GetData();
Dictionary<string, float> fileMetaData = fReader.GetMetaData();
FormulaFactory forFactory = new FormulaFactory();
ItemComparer itemComparer = new ItemComparer(fReader.allProducts, userList);
int targetUserID = 186;
int targetProductID = 172;
DateTime startTime = DateTime.Now;
itemComparer.PredictRating(userList[targetUserID], targetProductID);
// var x = itemComparer.PredictTopRatings(userList[targetUserID], 5);
DateTime endTime = DateTime.Now;
Console.WriteLine("Calculating the predicted rating took {0} ms",(endTime-startTime).Milliseconds);
//itemComparer.AddNewRating(userList[3],105,4);
//var y = itemComparer.PredictTopRatings(userList[targetUserID], 5);
Console.Read();
}
static void UserItemStart()
{
FileReader fReader = new FileReader();
Dictionary<int, UserPref> userList = fReader.GetData();
Dictionary<string, float> fileMetaData = fReader.GetMetaData();
FormulaFactory forFactory = new FormulaFactory();
NeighbourFinder nFinder = new NeighbourFinder(forFactory.GetFormula(fileMetaData));
int targetUserID = 186;
Dictionary<int, double> neighbourList = nFinder.FindNeighbours(targetUserID, userList);
foreach (var neighbour in neighbourList)
{
Console.WriteLine("Neighbour {0} has a similarity of {1}", neighbour.Key, neighbour.Value);
}
RatingPredictor rPredictor = new RatingPredictor();
rPredictor.PredictRatings(userList, targetUserID, neighbourList);
rPredictor.GetTopPredictedRatings(8);
Console.Read();
}