class_docstr: Pop is an fundamental model that always recommend the most popular item.
code: def predict(self, interaction):
      item = interaction[self.ITEM_ID]
      result = torch.true_divide(self.item_cnt[item, :], self.max_cnt)
      return result.squeeze(-1)
  
file_path: RecBole/recbole/model/general_recommender/pop.py
imports: import torch
  from recbole.model.abstract_recommender import GeneralRecommender
  from recbole.utils import InputType, ModelType
label_desc: Use image node_id 4 for calling the Pop obj's underlying member method code with example usage: obj.predict(interaction) and returns: result