code: def replace_vector_new_item(self):
      for item in self.new_items:
          list_items = self.search_similar_items(item)
  
          q_i = (
              self.q[self.item_to_item_id[list_items[0][0]]].copy()
              * list_items[0][1]
          )
          b_i = (
              self.bi[self.item_to_item_id[list_items[0][0]]].copy()
              * list_items[0][1]
          )
          sum_sim = list_items[0][1]
  
          for item_j, sim in list_items[1:]:
              q_i += self.q[self.item_to_item_id[item_j]].copy() * sim
              b_i += self.bi[self.item_to_item_id[item_j]].copy() * sim
              sum_sim += sim
  
          if sum_sim > 0:
              q_i = q_i / sum_sim
              b_i = b_i / sum_sim
  
              self.q[self.item_to_item_id[item]] = q_i.copy()
              if self.baseline:
                  self.bi[self.item_to_item_id[item]] = b_i.copy()
  
file_path: CaseRecommender/caserec/recommenders/rating_prediction/item_msmf.py
imports: import numpy
  from caserec.recommenders.rating_prediction.matrixfactorization import MatrixFactorization
  from caserec.utils.extra_functions import timed
label_desc: Use image node_id 6 for calling the ItemMSMF obj's underlying member method code with example usage: obj.replace_vector_new_item() without return types