public void Recommend()
{
_stopwatch.Start();
PrepareShop();
BookDistinguishingFeatures = _bookParser.GetDistinguishingFeatures(Shop.Warehouse.Books);
ItemProfiles = _itemProfilesManager.CreateProfiles(BookDistinguishingFeatures, Shop);
ItemProfiles = _normalizationManager.Normalize(ItemProfiles);
UserProfiles = _userProfilesManager.CreateProfiles(ItemProfiles, Shop);
TFIDFRepresentation = new TFIDFRepresentation(BookDistinguishingFeatures.Count);
TFIDFRepresentation.DistinguishingFeaturesDF = _tfidfManager.CalculateDF(ItemProfiles, TFIDFRepresentation);
TFIDFRepresentation.DistinguishingFeaturesIDF = _tfidfManager.CalculateIDF(TFIDFRepresentation, ItemProfiles.Count);
ItemProfiles = _tfidfManager.CalculateWeightedScores(TFIDFRepresentation, ItemProfiles);
UsersPredictions = _userPredictionsManager.CreateUserPredictions(Shop.Clients, UserProfiles, ItemProfiles);
UsersPredictions = _userPredictionsManager.PrepareResults(UsersPredictions);
_stopwatch.Stop();
SimulationTime = _stopwatch.Elapsed;
_printer.PrintResults(UsersPredictions, 10);
_printer.PrintSimulationTime(SimulationTime);
_resourceManager.SaveResults(UsersPredictions);
}
public double[] CalculateIDF(TFIDFRepresentation tfidfRepresentation, int total)
{
double[] idf = new double[tfidfRepresentation.DistinguishingFeaturesDF.Length];
for (int i = 0; i < idf.Length; i++)
{
idf[i] = Math.Log10(total / tfidfRepresentation.DistinguishingFeaturesDF[i]);
}
return(idf);
}
public ICollection <ItemProfile> CalculateWeightedScores(TFIDFRepresentation tfidf, ICollection <ItemProfile> itemProfiles)
{
double[] idf = tfidf.DistinguishingFeaturesIDF;
ItemProfile[] itemProfilesArray = itemProfiles.ToArray();
foreach (ItemProfile item in itemProfiles)
{
for (int i = 0; i < idf.Length; i++)
{
item.WeightedScores[i] = item.DistinguishingFeaturesBinaryRepresentation[i] * idf[i];
}
}
return(itemProfiles);
}
public double[] CalculateDF(ICollection <ItemProfile> itemProfiles, TFIDFRepresentation tfidfRepresentation)
{
ItemProfile[] itemProfilesArray = itemProfiles.ToArray();
double[] dfs = new double[itemProfilesArray[0].DistinguishingFeaturesBinaryRepresentation.Length];
for (int i = 0; i < itemProfilesArray[0].DistinguishingFeaturesBinaryRepresentation.Length; i++)
{
int counter = 0;
for (int j = 0; j < itemProfilesArray.Length; j++)
{
if (itemProfilesArray[j].DistinguishingFeaturesBinaryRepresentation[i] != 0)
{
counter++;
}
}
dfs[i] = counter;
}
return(dfs);
}
