public void PearsonDistanceMetricTest()
{
var data = DataReader.ReadFileContent("SampleData//critics.json");
var dict = DataReader.DeserializeData <Dictionary <string, Dictionary <string, double> > >(data);
var lizaPref = dict["Lisa Rose"];
var genePref = dict["Gene Seymour"];
var score = SimilarityScoreCalculator.Calculate(lizaPref, genePref, new PearsonMetric());
score.Should().BeApproximately(0.396, 0.001);
}
public void RecommendationsTest()
{
var data = DataReader.ReadFileContent("SampleData//critics.json");
var dict = DataReader.DeserializeData <Dictionary <string, Dictionary <string, double> > >(data);
var top3 = SimilarityScoreCalculator.GetRecommendations(dict, "Toby", new PearsonMetric(), 3).ToList();
top3[0].Key.Should().Be("The Night Listener");
top3[1].Key.Should().Be("Lady in the Water");
top3[2].Key.Should().Be("Just My Luck");
top3[0].Value.Should().BeApproximately(3.347, 0.001);
top3[1].Value.Should().BeApproximately(2.832, 0.001);
top3[2].Value.Should().BeApproximately(2.530, 0.001);
}
public void SimilarItemsTest()
{
var data = DataReader.ReadFileContent("SampleData//critics.json");
var dict = DataReader.DeserializeData <Dictionary <string, Dictionary <string, double> > >(data);
var top3 = SimilarityScoreCalculator.GetSimilarItems(dict, "Superman Returns", new PearsonMetric(), 3).ToList();
top3[0].Key.Should().Be("You, Me and Dupree");
top3[1].Key.Should().Be("Lady in the Water");
top3[2].Key.Should().Be("Snakes on a Plane");
top3[0].Value.Should().BeApproximately(0.657, 0.001);
top3[1].Value.Should().BeApproximately(0.487, 0.001);
top3[2].Value.Should().BeApproximately(0.111, 0.001);
}
public void UsersWithSimilarTasteTest()
{
var data = DataReader.ReadFileContent("SampleData//critics.json");
var dict = DataReader.DeserializeData <Dictionary <string, Dictionary <string, double> > >(data);
var top3 = SimilarityScoreCalculator.GetUsersWithSimilarTaste(dict, "Toby", new PearsonMetric(), 3).ToList();
top3[0].Key.Should().Be("Lisa Rose");
top3[1].Key.Should().Be("Mick LaSalle");
top3[2].Key.Should().Be("Claudia Puig");
top3[0].Value.Should().BeApproximately(0.991, 0.001);
top3[1].Value.Should().BeApproximately(0.924, 0.001);
top3[2].Value.Should().BeApproximately(0.893, 0.001);
}
