private static Dictionary <string, int> GetUserPurchaseCategories(int user)
{
totalCategyItems = 0;
IItemFeaturesMatrix featureMatrix = feedback.UserMatrix;
Dictionary <string, int> categories = new Dictionary <string, int>();
IDictionary <int, UserItemData> itemEntriesForUser = featureMatrix.GetFeatureEntriesByRow(user);
foreach (UserItemData ratingData in itemEntriesForUser.Values)
{
List <List <string> > itemCategoriesList = ratingData.Category;
foreach (List <string> itemCategories in itemCategoriesList)
{
foreach (string cat in itemCategories)
{
if (!categories.ContainsKey(cat))
{
categories.Add(cat, 1);
}
else
{
categories[cat]++;
}
}
}
}
foreach (int count in categories.Values)
{
totalCategyItems += count;
}
return(categories);
}
private static bool UserActivity(int userId)
{
IItemFeaturesMatrix featureMatrix = feedback.UserMatrix;
IDictionary <int, UserItemData> itemEntriesForUser = featureMatrix.GetFeatureEntriesByRow(userId);
bool active = true;
int numberOfRatings = itemEntriesForUser.Count;
int mostRecentPurchaseTime = 0;
int numberOfRecentPurchases = 0;
int totalPurchases = 0;
foreach (UserItemData ratingData in itemEntriesForUser.Values)
{
if (ratingData.ReviewTime > mostRecentPurchaseTime)
{
mostRecentPurchaseTime = ratingData.ReviewTime;
}
if ((mostRecentReview - ratingData.ReviewTime) < 7776000)
{
numberOfRecentPurchases++;
}
totalPurchases++;
}
// Has reviewed an item in the last 3 months
if ((mostRecentReview - mostRecentPurchaseTime) > 31536000)
{
active = false;
}
return(active);
//return (float)numberOfRecentPurchases / totalPurchases;
}
private static List <string> GetItemCategories(int itemId)
{
Stopwatch timeKeeper = new Stopwatch();
timeKeeper.Start();
IItemFeaturesMatrix featureMatrix = feedback.UserMatrix;
IDictionary <int, UserItemData> userEntriesForItem = featureMatrix.GetFeatureEntriesByColumn(itemId);
foreach (UserItemData ratingData in userEntriesForItem.Values)
{
timeKeeper.Stop();
Console.WriteLine("time passed GetItemCategories: " + timeKeeper.ElapsedMilliseconds);
return(ratingData.Category[0]);
}
return(null);
}
private static float[] GetAverageRatingAndNumberOfRatingsGivenByUser(int user)
{
float[] averageAndNumberOfRatings = new float[2];
IItemFeaturesMatrix featureMatrix = feedback.UserMatrix;
IDictionary <int, UserItemData> itemEntriesForUser = featureMatrix.GetFeatureEntriesByRow(user);
float ratingsSum = 0.0F;
int numberOfRatings = itemEntriesForUser.Count;
foreach (UserItemData ratingData in itemEntriesForUser.Values)
{
ratingsSum += ratingData.Rating;
}
averageAndNumberOfRatings[0] = (ratingsSum / ((numberOfRatings == 0) ? 1 : numberOfRatings));
averageAndNumberOfRatings[1] = (float)numberOfRatings;
return(averageAndNumberOfRatings);
}
