public SvdBoostedKnnRecommender(ISimilarityEstimator <ISvdBoostedKnnUser> similarityEstimator, IRecommendationGenerator <TSvdBoostedKnnModel, ISvdBoostedKnnUser> recommendationGenerator, INewUserFeatureGenerator <TSvdBoostedKnnModel> newUserFeatureGenerator, int nearestNeighboursCount = 3)
{
SimilarityEstimator = similarityEstimator;
RecommendationGenerator = recommendationGenerator;
NewUserFeatureGenerator = newUserFeatureGenerator;
NearestNeighboursCount = nearestNeighboursCount;
}
public ContentSimpleKnnRecommender(ISimilarityEstimator<ISimpleKnnUser> similarityEstimator, IRecommendationGenerator<ISimpleKnnModel, ISimpleKnnUser> recommendationGenerator, IContentSimilarityEstimator contentSimilarityEstimator, int nearestNeighboursCount = 3, float ratingSimilarityWeight = 0.5f, float contentSimilarityWeight = 0.5f)
: base(similarityEstimator, recommendationGenerator, nearestNeighboursCount)
{
ContentSimilarityEstimator = contentSimilarityEstimator;
RatingSimilarityWeight = ratingSimilarityWeight / (ratingSimilarityWeight + contentSimilarityWeight);
ContentSimilarityWeight = contentSimilarityWeight / (ratingSimilarityWeight + contentSimilarityWeight);
}
public ContentSvdBoostedKnnRecommender(ISimilarityEstimator <ISvdBoostedKnnUser> similarityEstimator, IRecommendationGenerator <TSvdBoostedKnnModel, ISvdBoostedKnnUser> recommendationGenerator, INewUserFeatureGenerator <TSvdBoostedKnnModel> newUserFeatureGenerator, IContentSimilarityEstimator contentSimilarityEstimator, int nearestNeighboursCount = 3, float ratingSimilarityWeight = 0.5f, float contentSimilarityWeight = 0.5f)
: base(similarityEstimator, recommendationGenerator, newUserFeatureGenerator, nearestNeighboursCount)
{
ContentSimilarityEstimator = contentSimilarityEstimator;
RatingSimilarityWeight = ratingSimilarityWeight;
ContentSimilarityWeight = contentSimilarityWeight;
}
public ContentSimpleKnnRecommender(ISimilarityEstimator <ISimpleKnnUser> similarityEstimator, IRecommendationGenerator <ISimpleKnnModel, ISimpleKnnUser> recommendationGenerator, IContentSimilarityEstimator contentSimilarityEstimator, int nearestNeighboursCount = 3, float ratingSimilarityWeight = 0.5f, float contentSimilarityWeight = 0.5f)
: base(similarityEstimator, recommendationGenerator, nearestNeighboursCount)
{
ContentSimilarityEstimator = contentSimilarityEstimator;
RatingSimilarityWeight = ratingSimilarityWeight / (ratingSimilarityWeight + contentSimilarityWeight);
ContentSimilarityWeight = contentSimilarityWeight / (ratingSimilarityWeight + contentSimilarityWeight);
}
public ContentSimpleKnnRecommender(ISimilarityEstimator <ISimpleKnnUser> similarityEstimator, IRecommendationGenerator <ISimpleKnnModel, ISimpleKnnUser> recommendationGenerator, int nearestNeighboursCount = 3)
: this(similarityEstimator, recommendationGenerator, new ContentSimilarityEstimator(), nearestNeighboursCount)
{
}
public ContentSimpleKnnRecommender(ISimilarityEstimator <ISimpleKnnUser> similarityEstimator, IRecommendationGenerator <ISimpleKnnModel, ISimpleKnnUser> recommendationGenerator, int nearestNeighboursCount = 3, float ratingSimilarityWeight = 0.5f, float contentSimilarityWeight = 0.5f)
: this(similarityEstimator, recommendationGenerator, new ContentSimilarityEstimator(), nearestNeighboursCount, ratingSimilarityWeight, contentSimilarityWeight)
{
}
public ContentSimpleKnnRecommender(ISimilarityEstimator<ISimpleKnnUser> similarityEstimator, IRecommendationGenerator<ISimpleKnnModel, ISimpleKnnUser> recommendationGenerator, int nearestNeighboursCount = 3)
: this(similarityEstimator, recommendationGenerator, new ContentSimilarityEstimator(), nearestNeighboursCount)
{
}
public ContentSimpleKnnRecommender(ISimilarityEstimator<ISimpleKnnUser> similarityEstimator, IRecommendationGenerator<ISimpleKnnModel, ISimpleKnnUser> recommendationGenerator, int nearestNeighboursCount = 3, float ratingSimilarityWeight = 0.5f, float contentSimilarityWeight = 0.5f)
: this(similarityEstimator, recommendationGenerator, new ContentSimilarityEstimator(), nearestNeighboursCount, ratingSimilarityWeight, contentSimilarityWeight)
{
}
public SimpleKnnRecommender(ISimilarityEstimator<ISimpleKnnUser> similarityEstimator, IRecommendationGenerator<ISimpleKnnModel, ISimpleKnnUser> simpleRecommendationGenerator, int nearestNeighboursCount = 3)
{
SimilarityEstimator = similarityEstimator;
RecommendationGenerator = simpleRecommendationGenerator;
NearestNeighboursCount = nearestNeighboursCount;
}
public SimpleKnnRecommender(ISimilarityEstimator<ISimpleKnnUser> similarityEstimator, int nearestNeighboursCount = 3)
: this(similarityEstimator, new RatingAggregationRecommendationGenerator<ISimpleKnnModel, ISimpleKnnUser>(), nearestNeighboursCount)
{
}
public SimpleKnnRecommender(ISimilarityEstimator <ISimpleKnnUser> similarityEstimator, IRecommendationGenerator <ISimpleKnnModel, ISimpleKnnUser> simpleRecommendationGenerator, int nearestNeighboursCount = 3)
{
SimilarityEstimator = similarityEstimator;
RecommendationGenerator = simpleRecommendationGenerator;
NearestNeighboursCount = nearestNeighboursCount;
}
public SimpleKnnRecommender(ISimilarityEstimator <ISimpleKnnUser> similarityEstimator, int nearestNeighboursCount = 3)
: this(similarityEstimator, new RatingAggregationRecommendationGenerator <ISimpleKnnModel, ISimpleKnnUser>(), nearestNeighboursCount)
{
}
