def __init__(self):
self.calculator = StatisticsCalculator()
self.all_ratings = Rating.objects.all()
self.all_movies = Movie.objects.all()
self.context_filter = ContextRatingsFilter()
self.recommender = CollaborativeFilteringRecommender()
self.explanation_generator = ExplanationsGenerator(self.all_movies)
class RecommenderSystem(object):
def __init__(self):
self.calculator = StatisticsCalculator()
self.all_ratings = Rating.objects.all()
self.all_movies = Movie.objects.all()
self.context_filter = ContextRatingsFilter()
self.recommender = CollaborativeFilteringRecommender()
self.explanation_generator = ExplanationsGenerator(self.all_movies)
#TODO: precalculations in each module for all users
def recommend(self, user, recommendation_context):
#input
self.user = user
self.recommendation_context = recommendation_context
#precalculations
self.context_filter.calculate_user_preferences(self.all_ratings, self.all_movies, self.user)
#recommending
recommendations = self.__get_recommendations(self.user.id, self.recommendation_context)
#generating explanation
explanations = self.explanation_generator.get_explanations(self.user, recommendations)
return explanations
def __get_recommendations(self, user_id, recommendation_context):
recommendations_reasons = {}
for c in recommendation_context:
context_ratings = self.context_filter.filter_by_context(self.user, c)
context_recommended_item = self.recommender.recommend(user_id, context_ratings, c)
if context_recommended_item:
recommendations_reasons.setdefault(context_recommended_item, []).append(c)
return recommendations_reasons
