public ActionResult Index()
{
MongodbFunctions mongo = new MongodbFunctions();
var randomproducts = mongo.GetProducts();
return(View(randomproducts));
}
public UserBehaviorDatabase LoadUserBehaviorDatabase(List <Databases.DomainModel.RecommenderAction> actions)
{
UserBehaviorDatabase db = new UserBehaviorDatabase();
MongodbFunctions mongo = new MongodbFunctions();
db.Categories = mongo.GetCategories();
db.Users = mongo.GetUsers();
db.Products = mongo.GetProducts();
foreach (Databases.DomainModel.RecommenderAction a in actions)
{
db.UserActions.Add(new Objects.UserAction(a.Action, a.UserId, a.ProductId, a.Grade));
}
return(db);
}
public ActionResult Index()
{
List <Databases.DomainModel.Product> products = new List <Databases.DomainModel.Product>();
MongodbFunctions mongo = new MongodbFunctions();
if (User.Identity.IsAuthenticated && User.IsInRole("User"))
{
TimescaledbFunctions tdb = new TimescaledbFunctions();
Databases.DomainModel.User user = mongo.GetUser(User.Identity.Name);
if (!tdb.NotificationSent(user.Id.ToString()) && (30000 - tdb.MonthShopping(user.Id.ToString())) < 3000)
{
Databases.DomainModel.Notification notification = new Databases.DomainModel.Notification
{
Content = "Poštovani, do ostvarivanja popusta od 20% ostalo Vam je manje od 3000 dinara.",
Title = "Mali iznos do popusta",
Date = DateTime.Now.Date,
Tag = "do_popusta",
Read = false,
User = new MongoDB.Driver.MongoDBRef("users", user.Id)
};
tdb.SendNotification(user.Id.ToString(), mongo.AddNotification(notification, user.Email).ToString(), "do_popusta");
}
//recommend za proizvode
RecommendationEngine.Interfaces.IRater rater = new LinearRater(1.0, 5.0);
RecommendationEngine.Interfaces.IComparer comparer = new CosineComparer();
RecommendationEngine.Recommenders.ItemCollaborativeFilterRecommender recommender1 = new RecommendationEngine.Recommenders.ItemCollaborativeFilterRecommender(comparer, rater, 3);
RecommendationEngine.Recommenders.UserCollaborativeFilterRecommender recommender2 = new RecommendationEngine.Recommenders.UserCollaborativeFilterRecommender(comparer, rater, 5);
RecommendationEngine.Parsers.UserBehaviorDatabaseParser parser = new RecommendationEngine.Parsers.UserBehaviorDatabaseParser();
List <Databases.DomainModel.RecommenderAction> actions = parser.LoadForHome();
RecommendationEngine.Parsers.UserBehaviorDatabase db = parser.LoadUserBehaviorDatabase(actions);
recommender1.Train(db);
recommender2.Train(db);
if (actions.Count(x => x.UserId.Equals(user.Id)) > 0)//if user has actions, recommendation can be done
{
List <RecommendationEngine.Objects.Suggestion> suggestions1 = recommender1.GetSuggestions(user.Id, 6);
List <RecommendationEngine.Objects.Suggestion> suggestions2 = recommender2.GetSuggestions(user.Id, 3);
foreach (RecommendationEngine.Objects.Suggestion s in suggestions1)
{
Databases.DomainModel.Product product = mongo.GetProduct(s.ProductID);
if (!products.Exists(x => x.Id.Equals(product.Id)))
{
products.Add(product);
}
}
foreach (RecommendationEngine.Objects.Suggestion s in suggestions2)
{
Databases.DomainModel.Product product = mongo.GetProduct(s.ProductID);
if (!products.Exists(x => x.Id.Equals(product.Id)))
{
products.Add(product);
}
}
}
else//no actions, recommendation using gender and birth date
{
List <Databases.DomainModel.Product> CategoryProducts = new List <Databases.DomainModel.Product>();
foreach (string subcat in user.Interests)
{
CategoryProducts.AddRange(mongo.GetCategoryProducts(subcat).Take(2));
}
List <RecommendationEngine.Objects.Suggestion> suggestions1 = recommender1.GetFirstSuggestions(db, user, 10);
foreach (RecommendationEngine.Objects.Suggestion s in suggestions1)
{
Databases.DomainModel.Product product = mongo.GetProduct(s.ProductID);
if (!products.Exists(x => x.Id.Equals(product.Id)))
{
products.Add(product);
}
}
foreach (Databases.DomainModel.Product p in CategoryProducts)
{
if (!products.Exists(x => x.Id.Equals(p.Id)))
{
products.Add(p);
}
}
}
//recommend za reklame
List <Databases.DomainModel.Advert> adverts = new List <Databases.DomainModel.Advert>();
actions = parser.LoadForAdverts();
db = parser.LoadUserBehaviorDatabase(actions);
recommender1.Train(db);
List <RecommendationEngine.Objects.Suggestion> suggestionsU = new List <RecommendationEngine.Objects.Suggestion>();
List <RecommendationEngine.Objects.Suggestion> suggestionsI = new List <RecommendationEngine.Objects.Suggestion>();
List <Databases.DomainModel.Product> categoryProducts = new List <Databases.DomainModel.Product>();
if (actions.Count(x => x.UserId.Equals(user.Id)) > 0)
{
suggestionsU = recommender2.GetSuggestions(user.Id, 5);
suggestionsI = recommender1.GetSuggestions(user.Id, 5);
}
else
{
foreach (string subcat in user.Interests)
{
categoryProducts.AddRange(mongo.GetCategoryProducts(subcat).Take(2));
}
foreach (Databases.DomainModel.Product p in categoryProducts)
{
foreach (Databases.DomainModel.Advert advert in mongo.GetAdverts(p.Subcategory))
{
if (!adverts.Exists(x => x.Id.Equals(advert.Id)))
{
adverts.Add(advert);
}
}
}
suggestionsI = recommender1.GetFirstSuggestions(db, user, 10);
}
foreach (RecommendationEngine.Objects.Suggestion s in suggestionsI)
{
Databases.DomainModel.Product product = mongo.GetProduct(s.ProductID);
foreach (Databases.DomainModel.Advert advert in mongo.GetAdverts(product.Subcategory))
{
if (!adverts.Exists(x => x.Id.Equals(advert.Id)))
{
adverts.Add(advert);
}
}
}
foreach (RecommendationEngine.Objects.Suggestion s in suggestionsU)
{
Databases.DomainModel.Product product = mongo.GetProduct(s.ProductID);
foreach (Databases.DomainModel.Advert advert in mongo.GetAdverts(product.Subcategory))
{
if (!adverts.Exists(x => x.Id.Equals(advert.Id)))
{
adverts.Add(advert);
}
}
}
ViewBag.Adverts = adverts;
//last seen
List <MongoDB.Bson.ObjectId> prodIds = tdb.LastSeen(user.Id.ToString());
List <Databases.DomainModel.Product> lastSeen = new List <Databases.DomainModel.Product>();
foreach (MongoDB.Bson.ObjectId id in prodIds)
{
lastSeen.Add(mongo.GetProduct(id));
}
tdb.CloseConnection();
ViewBag.LastSeen = lastSeen;
}
else //admin logged
{
products = mongo.GetProducts();
}
return(View(products));
}