public List <Recommendation_Meta_Item> getListRecommendation_R1_TraditionalUsers(Predict_DAO_MCol 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);
}
//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_MCol a)
{
List <Recommendation_Meta_Item> list1 = new List <Recommendation_Meta_Item>();
List <Recommendation_Meta_Item> list2 = new List <Recommendation_Meta_Item>();
List <string> list3 = new List <string>();
List <string> list4 = new List <string>();
foreach (string cluster in a.GetListClusterID())
{
foreach (string u in a.GetListUser_OfCluster(cluster))
{
List <Recommendation_Meta_Item> forTraditionalUser = a.GetRecommendC6_ForTraditionalUser(u, 2);
list1.AddRange((IEnumerable <Recommendation_Meta_Item>)forTraditionalUser);
}
}
return(list1);
}
public List <Recommendation_Meta_Item> GetRecommendationR4(Predict_DAO_MCol a, double param)
{
List <Recommendation_Meta_Item> list1 = new List <Recommendation_Meta_Item>();
List <string> list2 = new List <string>();
List <string> list3 = new List <string>();
List <string> list4 = new List <string>();
Dictionary <string, double> dictionary1 = new Dictionary <string, double>();
Dictionary <string, double> dictionary2 = new Dictionary <string, double>();
Dictionary <string, double> dictionary3 = new Dictionary <string, double>();
Dictionary <string, double> dictionary4 = new Dictionary <string, double>();
Dictionary <string, string> dictionary5 = new Dictionary <string, string>();
List <string> listClusterId = a.GetListClusterID();
Dictionary <string, string> listNewItem = a.GetListNewItem();
foreach (string cluster in listClusterId)
{
try
{
Dictionary <string, double> listRateU = a.GetListRateU(cluster);
Dictionary <string, double> listRateF = a.GetListRateF(cluster);
foreach (KeyValuePair <string, double> keyValuePair1 in listRateU)
{
Dictionary <string, double> listRateUf = a.GetListRateUF(keyValuePair1.Key);
double num1 = 0.0;
string FamillyCode = "Not found";
List <string> list5 = new List <string>();
List <double> list6 = new List <double>();
foreach (KeyValuePair <string, double> keyValuePair2 in listRateF)
{
double num2;
if (listRateUf.ContainsKey(keyValuePair2.Key))
{
double num3 = keyValuePair2.Value;
double num4 = keyValuePair1.Value;
double num5 = keyValuePair2.Value;
num2 = param * num5 * (1.0 / num4 - 1.0 / num3);
}
else
{
num2 = 0.0;
}
if (num2 > num1)
{
num1 = num2;
FamillyCode = keyValuePair2.Key;
}
}
if (num1 != 0.0)
{
double num2 = (double)a.getQTYR4(keyValuePair1.Key, FamillyCode, 1);
foreach (KeyValuePair <string, string> keyValuePair2 in listNewItem)
{
if (keyValuePair2.Value.Equals(FamillyCode))
{
list1.Add(new Recommendation_Meta_Item()
{
UserID = keyValuePair1.Key,
RecommendType = ConstantValues.RC_TYPE_LRS04,
MetaItemID = keyValuePair2.Key,
Quantity = num2,
Score = num1
});
}
}
}
}
}
catch (Exception ex)
{
}
}
return(list1);
}
//have formular here
public List <Recommendation_Meta_Item> GetRecommendationR3(Predict_DAO_MCol a)
{
List <Recommendation_Meta_Item> list1 = new List <Recommendation_Meta_Item>();
Recommendation_Meta_Item recommendationMetaItem1 = new Recommendation_Meta_Item();
List <CONF> list2 = new List <CONF>();
List <DIST> list3 = new List <DIST>();
List <string> list4 = new List <string>();
List <string> list5 = new List <string>();
List <string> list6 = new List <string>();
List <U_I_Q> list7 = new List <U_I_Q>();
foreach (string cluster in a.GetListClusterID())
{
List <CONF> confOfCluster = a.GetCONF_OfCluster(cluster);
List <DIST> distOfCluster = a.GetDIST_OfCluster(cluster);
List <string> listUserOfCluster = a.GetListUser_OfCluster(cluster);
List <U_I_Q> traditionalUsersMore = a.GetQuantityTraditionalUsers_More(cluster);
foreach (string user in listUserOfCluster)
{
List <string> notPurchasedOfUser = a.GetListMetaItemNotPurchased_OfUser(user, cluster);
List <string> listMetaItemOfUser = a.GetListMetaItem_OfUser(user);
string str = "";
double num1 = 0.0;
for (int index1 = 0; index1 < notPurchasedOfUser.Count; ++index1)
{
double num2 = 0.0;
double num3 = 0.0;
double num4 = 1.0;
for (int index2 = 0; index2 < listMetaItemOfUser.Count; ++index2)
{
for (int index3 = 0; index3 < confOfCluster.Count; ++index3)
{
if (confOfCluster[index3].MetaItemSource.Equals(listMetaItemOfUser[index2]) && confOfCluster[index3].MetaItemDestination.Equals(notPurchasedOfUser[index1]))
{
num3 = confOfCluster[index3].Confident;
break;
}
}
for (int index3 = 0; index3 < distOfCluster.Count; ++index3)
{
if (distOfCluster[index3].MetaItemDestination.Equals(listMetaItemOfUser[index2]) && distOfCluster[index3].MetaItemDestination.Equals(notPurchasedOfUser[index1]))
{
num4 = distOfCluster[index3].Distance;
break;
}
}
if (num4 != 0.0)
{
num2 += num3 / num4;
}
}
if (num1 < num2 / (double)listMetaItemOfUser.Count)
{
num1 = num2;
str = notPurchasedOfUser[index1];
}
}
if (num1 != 0.0)
{
Recommendation_Meta_Item recommendationMetaItem2 = new Recommendation_Meta_Item();
recommendationMetaItem2.UserID = user;
recommendationMetaItem2.MetaItemID = str;
recommendationMetaItem2.RecommendType = ConstantValues.RC_TYPE_LRS03;
recommendationMetaItem2.Quantity = 0.0;
for (int index = 0; index < traditionalUsersMore.Count; ++index)
{
if (traditionalUsersMore[index].MetaItemID.Equals(str))
{
recommendationMetaItem2.Quantity = traditionalUsersMore[index].QTY;
break;
}
}
recommendationMetaItem2.Score = num1;
list1.Add(recommendationMetaItem2);
}
}
}
return(list1);
}