class_docstr: LSTUR model(Neural News Recommendation with Multi-Head Self-Attention)
  
  Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu and Xing Xie:
  Neural News Recommendation with Long- and Short-term User Representations, ACL 2019
  
  Attributes:
      word2vec_embedding (numpy.ndarray): Pretrained word embedding matrix.
      hparam (object): Global hyper-parameters.
code: def _get_user_feature_from_iter(self, batch_data):
      return [
          batch_data["clicked_title_batch"],
          batch_data["user_index_batch"],
      ]
  
file_path: recommenders/recommenders/models/newsrec/models/lstur.py
imports: import tensorflow.compat.v1.keras
  from tensorflow.compat.v1.keras import layers
  from recommenders.models.newsrec.models.base_model import BaseModel
  from recommenders.models.newsrec.models.layers import AttLayer2, ComputeMasking, OverwriteMasking
label_desc: Use image node_id 3 for calling the LSTURModel obj's underlying member method code with example usage: obj._get_user_feature_from_iter(batch_data) and returns: list