static void Assignment3()
{
RecommenderSystem rs = new RecommenderSystem();
rs.Load("ratings.dat", 0.97);
//rs.TrainBaseModel(10);
//rs.TrainStereotypes(10);
string testUserId = rs.getTestUserId();
//List<string> lRecommendationsCp = rs.Recommend(RecommenderSystem.RecommendationMethod.CP, testUserId, 5);
//List<string> lRecommendationsJaccard = rs.Recommend(RecommenderSystem.RecommendationMethod.Jaccard, testUserId, 5);
//List<string> lRecommendations = rs.Recommend(RecommenderSystem.RecommendationMethod.Pearson, "6", 5);
//Console.Write("Recommended movies for user 6 ");
//foreach (string sMovie in lRecommendations)
// Console.Write(sMovie + ",");
//Console.WriteLine();
//
//List<string> lRecommendationsPopulairty = rs.Recommend(RecommenderSystem.RecommendationMethod.Popularity, "2", 5);
//List<string> lRecommendationsPearson = rs.Recommend(RecommenderSystem.RecommendationMethod.Pearson, "2", 5);
//List<string> lRecommendationsCosine = rs.Recommend(RecommenderSystem.RecommendationMethod.Cosine, "2", 5);
//List<string> lRecommendationsBaseModel = rs.Recommend(RecommenderSystem.RecommendationMethod.BaseModel, "2", 5);
//List<string> lRecommendationsSt = rs.Recommend(RecommenderSystem.RecommendationMethod.Stereotypes, "2", 5);
//
List <RecommenderSystem.RecommendationMethod> lMethods = new List <RecommenderSystem.RecommendationMethod>();
//List<RecommenderSystem.RecommendationMethod> lMethods = new List<RecommenderSystem.RecommendationMethod>();
lMethods.Add(RecommenderSystem.RecommendationMethod.Jaccard);
lMethods.Add(RecommenderSystem.RecommendationMethod.CP);
//
List <int> lLengths = new List <int>();
lLengths.Add(1);
lLengths.Add(3);
lLengths.Add(5);
lLengths.Add(10);
lLengths.Add(20);
DateTime dtStart = DateTime.Now;
Dictionary <int, Dictionary <RecommenderSystem.RecommendationMethod, Dictionary <string, double> > > dResults = rs.ComputePrecisionRecall(lMethods, lLengths, 1000);
Console.WriteLine("Precision-recall scores for all methods are:");
foreach (int iLength in lLengths)
{
foreach (RecommenderSystem.RecommendationMethod sMethod in lMethods)
{
foreach (string sMetric in dResults[iLength][sMethod].Keys)
{
Console.WriteLine(iLength + "," + sMethod + "," + sMetric + " = " + Math.Round(dResults[iLength][sMethod][sMetric], 4));
}
}
}
Console.WriteLine("Execution time was " + Math.Round((DateTime.Now - dtStart).TotalSeconds, 0));
Console.ReadLine();
}
static void Assignment2()
{
RecommenderSystem rs = new RecommenderSystem();
rs.Load("Dating/ratings.dat", 0.95);
rs.TrainBaseModel(10);
Console.WriteLine("Real rating of user 1 to item 133 using SVD is " + Math.Round(rs.GetRating("1", "133"), 4));
Console.WriteLine("Predicted rating of user 1 to item 133 using SVD is " + Math.Round(rs.PredictRating(RecommenderSystem.PredictionMethod.SVD, "1", "133"), 4));
List <RecommenderSystem.PredictionMethod> lMethods = new List <RecommenderSystem.PredictionMethod>();
lMethods.Add(RecommenderSystem.PredictionMethod.SVD);
lMethods.Add(RecommenderSystem.PredictionMethod.Pearson);
lMethods.Add(RecommenderSystem.PredictionMethod.Cosine);
lMethods.Add(RecommenderSystem.PredictionMethod.Random);
DateTime dtStart = DateTime.Now;
Dictionary <RecommenderSystem.PredictionMethod, Dictionary <RecommenderSystem.PredictionMethod, double> > dConfidence = null;
Dictionary <RecommenderSystem.PredictionMethod, double> dResults = rs.ComputeRMSE(lMethods, out dConfidence);
Console.WriteLine("Hit ratio scores for Pearson, Cosine, SVD, and Random are:");
foreach (KeyValuePair <RecommenderSystem.PredictionMethod, double> p in dResults)
{
Console.Write(p.Key + "=" + Math.Round(p.Value, 4) + ", ");
}
Console.WriteLine("Confidence P-values are:");
foreach (RecommenderSystem.PredictionMethod sFirst in dConfidence.Keys)
{
foreach (RecommenderSystem.PredictionMethod sSecond in dConfidence[sFirst].Keys)
{
Console.WriteLine("p(" + sFirst + "=" + sSecond + ")=" + dConfidence[sFirst][sSecond].ToString("F3"));
}
}
Console.WriteLine();
Console.WriteLine("Execution time was " + Math.Round((DateTime.Now - dtStart).TotalSeconds, 0));
Console.ReadLine();
}
