code: def predict_user_rank(self, user):
      unseen_items = set(self.items).difference(
          self.users_profile[user]
      )
  
      list_scores = []
      for i in unseen_items:
          list_scores.append(self.predict_item_score(user, i))
  
      return sorted(list_scores, key=lambda x: -x[2])[
          : self.rank_length
      ]
  
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 5 for calling the ContentBased obj's underlying member method code with example usage: obj.predict_user_rank(user) and returns: sorted