public void ShouldOrderRecommendationsBasedOnSimilarityScore()
{
currentUser = ReviewerBuilder.BuildReviewerThatNeedsRecommendations();
reviewers = new List<Reviewer> {ReviewerBuilder.BuildMyReviews()};
var r = new RecommendItems(currentUser, reviewers).Calculate();
Assert.AreEqual("Refactoring", r.First());
}
public void SumASingleScoreFromOneUser()
{
r1 = ReviewerBuilder.BuildOneReviewMax();
similarReviews = new List<string>(new String[] {"C# in Depth"});
Assert.AreEqual(5.0, new SumScores(similarReviews, r1.Reviews).Calculate());
}
public void SetUp()
{
r1 = ReviewerBuilder.BuildReviewer1();
r2 = ReviewerBuilder.BuildReviewer2();
similarReviews = new FindSimilarReviews(r1.Reviews, r2.Reviews).Calculate();
}
public void SetUp()
{
currentUser = ReviewerBuilder.BuildReviewerThatNeedsRecommendations();
reviewers = ReviewerBuilder.BuildReviewers();
}
public void ShouldNotMakeRecommendationsIfUsersHaveNoSimilarReviews()
{
currentUser = ReviewerBuilder.BuildAReviewerThatReviewedSomethingUnique();
var r = new RecommendItems(currentUser, reviewers).Calculate();
Assert.AreEqual(0, r.Count);
}
private double CalculateSimilarityScore(Reviewer reviewer)
{
return new PearsonCorrelation(CurrentUser, reviewer).Score();
}
public RankReviewers(Reviewer currentUser, List<Reviewer> reviewers)
{
CurrentUser = currentUser;
Reviewers = reviewers;
}
public void SetUp()
{
reviewer = new Reviewer();
}
public EuclideanDistance(Reviewer r1, Reviewer r2)
{
R1 = r1;
R2 = r2;
}
public RecommendItems(Reviewer currentUser, List<Reviewer> reviewers)
{
CurrentUser = currentUser;
Reviewers = reviewers;
}
