///
protected override void InitModel()
{
base.InitModel();
if (K > 0)
{
itemKNN = new ItemKNN();
itemKNN.K = K;
itemKNN.Correlation = MyMediaLite.Correlation.BinaryCorrelationType.Cosine;
itemKNN.Feedback = this.Feedback;
}
}
///
protected override void InitModel()
{
base.InitModel();
if (K > 0)
{
itemKNN = new ItemKNN();
itemKNN.K = K;
itemKNN.Correlation = MyMediaLite.Correlation.BinaryCorrelationType.Cosine;
itemKNN.Feedback = this.Feedback;
}
}
private void btnProcess_ItemClick(object sender, ItemClickEventArgs e)
{
// Validating
if (editUserID.EditValue.ToString().IsEmpty())
{
XtraMessageBox.Show(this, "Vui lòng nhập ID User", "Lỗi", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
var uid = int.Parse(editUserID.EditValue.ToString());
var count = int.Parse(editCount.EditValue.ToString());
if (relas.All(r => r.UserID != uid))
{
XtraMessageBox.Show(this, "User ID không hợp lệ", "Lỗi", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
ItemRecommender recommender;
if (cbType.EditValue.ToString().Equals("User Based"))
{
recommender = new UserKNN();
}
else if (cbType.EditValue.ToString().Equals("Item Based"))
{
recommender = new ItemKNN();
}
else
{
XtraMessageBox.Show(this, "Invalid value " + cbType.EditValue, "Lỗi", MessageBoxButtons.OK,
MessageBoxIcon.Asterisk);
return;
}
var mat = new PosOnlyFeedback <SparseBooleanMatrix>();
foreach (var rela in relas)
{
mat.Add(rela.UserID, rela.SongID);
}
recommender.Feedback = mat;
recommender.Train();
var result = recommender.Recommend(uid, count);
gridResult.DataSource =
result.Select(i => new KetQua {
BaiHat = songs.Find(song => song.ID == i.Item1).Name, DiemSo = i.Item2
})
.ToList();
gridResult.RefreshDataSource();
}
///
public override void LoadModel(string filename)
{
if (K > 0)
{
itemKNN = new ItemKNN();
itemKNN.LoadModel(filename + "-knn");
}
using (StreamReader reader = Model.GetReader(filename, this.GetType()))
{
var item_weights = (Matrix <float>)reader.ReadMatrix(new Matrix <float>(0, 0));
this.MaxItemID = item_weights.NumberOfRows - 1;
this.item_weights = item_weights;
}
}
private static void startItemKNN(string data)
{
MyMediaLite.Data.Mapping user_mapping = new MyMediaLite.Data.Mapping();
MyMediaLite.Data.Mapping item_mapping = new MyMediaLite.Data.Mapping();
ITimedRatings all_data = readDataMapped(data, ref user_mapping, ref item_mapping);
removeUserThreshold(ref all_data);
Console.WriteLine("Start iteration Test ItemKNN");
ITimedRatings validation_data = new TimedRatings(); // 10%
ITimedRatings test_data = new TimedRatings(); // 20%
ITimedRatings training_data = new TimedRatings(); // 70%
readAndSplitData(all_data, ref test_data, ref training_data, ref validation_data);
IPosOnlyFeedback training_data_pos = new PosOnlyFeedback <SparseBooleanMatrix> (); // 80%
for (int index = 0; index < training_data.Users.Count; index++)
{
training_data_pos.Add(training_data.Users [index], training_data.Items [index]);
}
MyMediaLite.ItemRecommendation.ItemKNN recommender = new MyMediaLite.ItemRecommendation.ItemKNN();
recommender.Feedback = training_data_pos;
DateTime start_time = DateTime.Now;
recommender.Train();
Console.Write("Total Training time needed:");
Console.WriteLine(((TimeSpan)(DateTime.Now - start_time)).TotalMilliseconds);
Console.WriteLine("Final results in this iteration:");
var results = MyMediaLite.Eval.ItemsWeatherItemRecommender.EvaluateTime(recommender, validation_data, training_data, "VALIDATION ", false);
results = MyMediaLite.Eval.ItemsWeatherItemRecommender.EvaluateTime(recommender, test_data, training_data, "TEST ", false);
//}
}
///
public override void LoadModel(string filename)
{
if (K > 0)
{
itemKNN = new ItemKNN();
itemKNN.LoadModel(filename + "-knn");
}
using ( StreamReader reader = Model.GetReader(filename, this.GetType()) )
{
var item_weights = (Matrix<float>) reader.ReadMatrix(new Matrix<float>(0, 0));
this.MaxItemID = item_weights.NumberOfRows - 1;
this.item_weights = item_weights;
}
}
