@Override
public HybridRecommendationModel buildRecommendationModel(
DatasetLoader<? extends Rating> datasetLoader)
throws CannotLoadRatingsDataset, CannotLoadContentDataset, CannotLoadUsersDataset {
ContentBasedRecommender<Object, Object> contentBasedAlgorithm =
(ContentBasedRecommender<Object, Object>) getParameterValue(CONTENT_BASED_TECHNIQUE);
RecommendationModelBuildingProgressListener contentBasedListener =
(String actualJob, int percent, long remainingSeconds) -> {
ContentWeightCollaborative.this.fireBuildingProgressChangedEvent(
actualJob, percent / 2, -1);
};
contentBasedAlgorithm.addRecommendationModelBuildingProgressListener(contentBasedListener);
Object contentBasedModel = contentBasedAlgorithm.buildRecommendationModel(datasetLoader);
CollaborativeRecommender collaborativeFilteringTechnique =
(CollaborativeRecommender) getParameterValue(COLLABORATIVE_TECHNIQUE);
RecommendationModelBuildingProgressListener collaborativeListener =
(String actualJob, int percent, long remainingSeconds) -> {
ContentWeightCollaborative.this.fireBuildingProgressChangedEvent(
actualJob, percent / 2 + 50, -1);
};
collaborativeFilteringTechnique.addRecommendationModelBuildingProgressListener(
collaborativeListener);
Object collaborativeModel =
collaborativeFilteringTechnique.buildRecommendationModel(datasetLoader);
return new HybridRecommendationModel(contentBasedModel, collaborativeModel);
}
@Override
public Collection<Recommendation> recommendToUser(
DatasetLoader<? extends Rating> datasetLoader,
HybridRecommendationModel model,
Integer idUser,
java.util.Set<Integer> candidateItems)
throws UserNotFound, CannotLoadRatingsDataset, CannotLoadContentDataset, ItemNotFound,
NotEnoughtUserInformation {
ContentBasedRecommender<Object, Object> contentBasedAlgorithm =
(ContentBasedRecommender<Object, Object>) getParameterValue(CONTENT_BASED_TECHNIQUE);
CollaborativeRecommender<Object> collaborativeFilteringTechnique =
(CollaborativeRecommender<Object>) getParameterValue(COLLABORATIVE_TECHNIQUE);
Collection<Recommendation> content =
contentBasedAlgorithm.recommendToUser(
datasetLoader, model.getModel(0), idUser, candidateItems);
Collection<Recommendation> collaborative =
collaborativeFilteringTechnique.recommendToUser(
datasetLoader, model.getModel(1), idUser, candidateItems);
return joinRecommendationLists(content, collaborative);
}