Fixed a tiny bug where the names of the recommenders were wrong in two classes
Change the implementation of the cosine method in the similarity module, now it uses scikit learn
Change the implementation of the cosine method in the similarity module, now it uses scikit learn
Renamed the similarity module to similarity_calculator
Created the average recommender class, which recommends the average rating of all the reviews contained in the training data
Created unit test for the AverageRecommender class
Created the save_json_file method in ETLUtils class
Modified the extractor module so that reviews are stored now in a list inside the dictionary and there is not a field for each multi-criteria review
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