//public List<Recommendation_Meta_Item> GetListRecommendC6_ForTraditionalUser()
//{
// Predict_DAO_MC a = new Predict_DAO_MC();
// List<Recommendation_Meta_Item> list = new List<Recommendation_Meta_Item>();
// List<Recommendation_Meta_Item> RC = new List<Recommendation_Meta_Item>();
// try
// {
// a.beginTransaction();
// List<User> list_users_tra = a.getTraditionalUser_UnBlocked();
// foreach (User u in list_users_tra)
// {
// RC = a.GetRecommendC6_ForTraditionalUser(u, 1);
// list.AddRange(RC);
// }
// a.commitTransaction();
// return list;
// }
// catch (Exception ex)
// {
// a.rollbackTransaction();
// throw ex;
// }
//}
//----------------------------------------------------------------------------------------------
//This function calls GetRecommendC6_ForTraditionalUser from Predict_DAO_MC to give R1
//Created by MC. NGUYEN
//Corrected by MC. NGUYEN, 22.10.2014
//Changed: 24.10.2014: the formule to calculate SCORE for each Meta Produit (based on Count(*)).
//----------------------------------------------------------------------------------------------
public List<Recommendation_Meta_Item> getListRecommendation_R1_TraditionalUsers(Predict_DAO_MC a, int nbR1)
{
//Predict_DAO_MC a = new Predict_DAO_MC();
List<Recommendation_Meta_Item> list = new List<Recommendation_Meta_Item>();
List<Recommendation_Meta_Item> RC = new List<Recommendation_Meta_Item>();
List<string> lstCluster = new List<string>();
List<string> User_OfCluster = new List<string>();
//Settings r = GetRecommendationSeting(a);
lstCluster = a.GetListClusterID();
//Check number of recommendations
if (nbR1 <= 0) nbR1 = 1;
//int i = 0;
foreach (string cluster in lstCluster)
{
User_OfCluster = a.GetListUser_OfCluster(cluster);
foreach (string u in User_OfCluster)
{
RC = a.GetRecommendC6_ForTraditionalUser(u, nbR1);//2
list.AddRange(RC);
}
}
return list;
}
