code: def predict_item_score(self, user, item):
      sum_sim = 0
      for i in self.users_profile[user]:
          sum_sim += self.si_matrix[self.item_to_item_id[item]][
              self.item_to_item_id[i]
          ]
  
      return [user, item, sum_sim / len(self.users_profile[user])]
  
file_path: CaseRecommender/caserec/recommenders/item_recommendation/content_based.py
imports: import numpy
  from caserec.recommenders.item_recommendation.base_item_recommendation import BaseItemRecommendation
  from caserec.utils.process_data import ReadFile
  from caserec.utils.extra_functions import timed
label_desc: Use image node_id 6 for calling the ContentBased obj's underlying member method code with example usage: obj.predict_item_score(user, item) and returns: list