public MalPositiveFeedbackRecResults GetRecommendations(MalPositiveFeedbackInput inputForUser, int numRecommendationsToTryToGet)
{
IUserInputClassifier <MalUserListEntries> classifier;
decimal targetScoreUsed;
if (inputForUser.TargetFraction != null)
{
classifier = new MalPercentageRatingClassifier(inputForUser.TargetFraction.Value, m_minEpisodesToClassifyIncomplete);
}
else
{
classifier = new MalMinimumScoreRatingClassifier(inputForUser.TargetScore.Value, m_minEpisodesToClassifyIncomplete);
}
IPositiveFeedbackForUser basicFeedback = inputForUser.AnimeList.AsPositiveFeedback(classifier,
additionalOkToRecommendPredicate: (animeId) => m_userCountByAnime.ContainsKey(animeId) && m_userCountByAnime[animeId] >= m_minUsersToCountAnime);
if (inputForUser.TargetFraction != null)
{
targetScoreUsed = basicFeedback.Items.Min(itemId => inputForUser.AnimeList.Entries[itemId].Rating ?? 10);
}
else
{
targetScoreUsed = inputForUser.TargetScore.Value;
}
IEnumerable <RatingPredictionRecommendation> recs = m_recommender.GetRecommendations(basicFeedback, numRecommendationsToTryToGet);
return(new MalPositiveFeedbackRecResults(recs, targetScoreUsed));
}
public MalPositiveFeedbackRecResults GetRecommendations(MalUserListEntries inputForUser, int numRecommendationsToTryToGet)
{
MalPositiveFeedbackInput input = new MalPositiveFeedbackInput(inputForUser, targetFraction: m_targetFraction);
return(m_underlyingRecSource.GetRecommendations(input, numRecommendationsToTryToGet));
}
