title: Online Learning with Tensorflow
body: <p>My problem is related to building a recommender system. I am using tensorflow to train the model with user_features, item_features and interactions. </p>
  
  <h3>How can i handle new data?</h3>
  
  <p>For example, whenever a use clicks on an item, i wanna record that interaction immediately and learn from that interaction (training the model for just that interaction). How can i do this?</p>
  
  <h3>Current implementation</h3>
  
  <p>Right now, i am following the traditional method of training the model first and then making predictions from that. In order to handle new interactions, i have to re-initialize the graph and retrain with all the data to make it work.</p>
  
  I hope there is some solution for this.
  
  <p>Thanks</p>