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 MalMyMediaLiteItemRecommenderRecSource(TRecommender recommender, double fractionConsideredRecommended,
int minEpisodesToClassifyIncomplete, int minUsersToCountAnime)
{
m_recommender = new MyMediaLiteItemRecommendationRecSource <TRecommender>(recommender);
m_userCountByAnime = null;
m_minEpisodesToClassifyIncomplete = minEpisodesToClassifyIncomplete;
m_minUsersToCountAnime = minUsersToCountAnime;
m_positiveClassifier = new MalPercentageRatingClassifier(fractionConsideredRecommended, minEpisodesToClassifyIncomplete);
}
AnimeRecsResults IRecommendationSource <MalAnimeRecsInput, AnimeRecsResults, AnimeRecsRecommendation>
.GetRecommendations(MalAnimeRecsInput inputForUser, int numRecommendationsToTryToGet)
{
ClassifiedUserInput <MalUserListEntries> classifiedInput;
if (inputForUser.TargetFraction != null)
{
MalPercentageRatingClassifier inputClassifier = new MalPercentageRatingClassifier(inputForUser.TargetFraction.Value, m_minEpisodesToClassifyIncomplete);
classifiedInput = inputClassifier.Classify(inputForUser.AnimeList);
}
else
{
MalMinimumScoreRatingClassifier inputClassifier = new MalMinimumScoreRatingClassifier(inputForUser.TargetScore.Value, m_minEpisodesToClassifyIncomplete);
classifiedInput = inputClassifier.Classify(inputForUser.AnimeList);
}
AnimeRecsInput <MalUserListEntries> inputWithParameters = new AnimeRecsInput <MalUserListEntries>(
originalInput: inputForUser.AnimeList,
classifiedInput: classifiedInput,
orderingGivenRecommenderAndItemIds: CompareRecs
);
return(m_recommender.GetRecommendations(inputWithParameters, numRecommendationsToTryToGet));
}
public MalAnimeRecsRecSource(int numRecommendersToUse, double fractionConsideredRecommended, int minEpisodesToClassifyIncomplete)
{
m_recommender = new AnimeRecsRecSource <MalTrainingData, MalUserListEntries, MalUserListEntries>(numRecommendersToUse);
m_recommendationClassifier = new MalPercentageRatingClassifier(fractionConsideredRecommended, minEpisodesToClassifyIncomplete);
m_minEpisodesToClassifyIncomplete = minEpisodesToClassifyIncomplete;
}
public MalAnimeRecsResults GetRecommendations(MalAnimeRecsInput inputForUser, int numRecommendationsToTryToGet)
{
ClassifiedUserInput <MalUserListEntries> classifiedInput;
decimal targetScoreUsed;
if (inputForUser.TargetFraction != null)
{
MalPercentageRatingClassifier inputClassifier = new MalPercentageRatingClassifier(inputForUser.TargetFraction.Value, m_minEpisodesToClassifyIncomplete);
classifiedInput = inputClassifier.Classify(inputForUser.AnimeList);
// target score used is the minimum score a liked anime has.
targetScoreUsed = classifiedInput.Liked.Entries.Values.Min(entry => entry.Rating) ?? 10m;
}
else
{
MalMinimumScoreRatingClassifier inputClassifier = new MalMinimumScoreRatingClassifier(inputForUser.TargetScore.Value, m_minEpisodesToClassifyIncomplete);
classifiedInput = inputClassifier.Classify(inputForUser.AnimeList);
targetScoreUsed = inputForUser.TargetScore.Value;
}
AnimeRecsInput <MalUserListEntries> inputWithParameters = new AnimeRecsInput <MalUserListEntries>(
originalInput: inputForUser.AnimeList,
classifiedInput: classifiedInput,
orderingGivenRecommenderAndItemIds: CompareRecs
);
AnimeRecsResults baseResults = m_recommender.GetRecommendations(inputWithParameters, numRecommendationsToTryToGet);
List <MalAnimeRecsRecommenderUser> malRecommenders = new List <MalAnimeRecsRecommenderUser>();
foreach (AnimeRecsRecommenderUser baseRecommender in baseResults.Recommenders)
{
malRecommenders.Add(new MalAnimeRecsRecommenderUser(
userId: baseRecommender.UserId,
username: m_trainingData.Users[baseRecommender.UserId].MalUsername,
recsLiked: new HashSet <MalAnimeRecsRecommenderRecommendation>(baseRecommender.RecsLiked
.Select(malAnimeId => new MalAnimeRecsRecommenderRecommendation(malAnimeId,
m_trainingData.Users[baseRecommender.UserId].Entries[malAnimeId].Rating, m_itemAverages[malAnimeId])
)
),
recsNotLiked: new HashSet <MalAnimeRecsRecommenderRecommendation>(baseRecommender.RecsNotLiked
.Select(malAnimeId => new MalAnimeRecsRecommenderRecommendation(malAnimeId,
m_trainingData.Users[baseRecommender.UserId].Entries[malAnimeId].Rating, m_itemAverages[malAnimeId])
)
),
recsInconclusive: new HashSet <MalAnimeRecsRecommenderRecommendation>(baseRecommender.RecsInconclusive
.Select(malAnimeId => new MalAnimeRecsRecommenderRecommendation(malAnimeId,
m_trainingData.Users[baseRecommender.UserId].Entries[malAnimeId].Rating, m_itemAverages[malAnimeId])
)
),
recsNotInCommon: new HashSet <MalAnimeRecsRecommenderRecommendation>(baseRecommender.RecsNotInCommon
.Select(malAnimeId => new MalAnimeRecsRecommenderRecommendation(malAnimeId,
m_trainingData.Users[baseRecommender.UserId].Entries[malAnimeId].Rating, m_itemAverages[malAnimeId])
)
),
compatibility: baseRecommender.Compatibility,
compatibilityLowEndpoint: baseRecommender.CompatibilityLowEndpoint,
compatibilityHighEndpoint: baseRecommender.CompatibilityHighEndpoint
));
}
return(new MalAnimeRecsResults(baseResults.Recommendations, malRecommenders, targetScoreUsed));
}
