static void Main(string[] args)
{
ArticleRecommender recommendationEngine = new ArticleRecommender("Userbehavior.txt");
// cut just using UpVotes and DownVotes
ShowMaxAndMinCorrelationFromUsers(recommendationEngine);
System.Console.WriteLine("Run results tags to correlate similarities on UpVotes and DownVotes only...");
recommendationEngine.GenerateSimilaritiesByTags();
recommendationEngine.GenerateRatingsProbabilitiesForUsers();
ShowMaxAndMinCorrelationFromUsers(recommendationEngine);
// lets add the downloads to the likes and see what that does to our numbers ---
System.Console.WriteLine("Added Downloads as likes to result set, no tags for correlation...");
recommendationEngine.AddUserActionsToLikes("Download");
recommendationEngine.GenerateSimilarityValuesForUsers();
recommendationEngine.GenerateRatingsProbabilitiesForUsers();
ShowMaxAndMinCorrelationFromUsers(recommendationEngine);
System.Console.WriteLine("Run results tags to correlate similarities on UpVotes and Downloads as Likes and DownVotes as Dislikes...");
recommendationEngine.GenerateSimilaritiesByTags();
recommendationEngine.GenerateRatingsProbabilitiesForUsers();
ShowMaxAndMinCorrelationFromUsers(recommendationEngine);
System.Console.WriteLine("Added Views as likes to result set, no tags...");
recommendationEngine.AddUserActionsToLikes("View");
recommendationEngine.GenerateSimilarityValuesForUsers();
recommendationEngine.GenerateRatingsProbabilitiesForUsers();
ShowMaxAndMinCorrelationFromUsers(recommendationEngine);
System.Console.WriteLine("Run results tags to correlate similarities on UpVotes, Views and Downloads as Likes and DownVotes as Dislikes...");
recommendationEngine.GenerateSimilaritiesByTags();
recommendationEngine.GenerateRatingsProbabilitiesForUsers();
ShowMaxAndMinCorrelationFromUsers(recommendationEngine);
}
public static void ShowMaxAndMinCorrelationFromUsers(ArticleRecommender recommendationEngine)
{
double maxCorrelation = -1.0;
double minCorrelation = 1.0;
RateeBase rateeMax = null;
RaterBase raterMax = null;
RateeBase rateeMin = null;
RaterBase raterMin = null;
foreach (User rater in recommendationEngine.Raters)
{
List <KeyValuePair <RateeBase, double> > list = rater.GetSuggestions();
if (list.Any() && list[0].Value > maxCorrelation)
{
maxCorrelation = list[0].Value;
raterMax = rater;
rateeMax = list[0].Key;
}
if (list.Any() && list[list.Count() - 1].Value < minCorrelation)
{
minCorrelation = list[list.Count() - 1].Value;
raterMin = rater;
rateeMin = list[list.Count() - 1].Key;
}
}
if (raterMax != null)
{
System.Console.WriteLine("Max Correlation was " + maxCorrelation);
System.Console.WriteLine("for user " + raterMax.Name);
System.Console.WriteLine("for article " + rateeMax.Name);
}
if (raterMin != null)
{
System.Console.WriteLine("Min Correlation was " + minCorrelation);
System.Console.WriteLine("for user " + raterMin.Name);
System.Console.WriteLine("for article " + rateeMin.Name);
}
}
