Currently, we have no way to store trained neural network within magnolia or file system. However, it is essentially to store it somewhere to that users' preferences will not be lost when instance has restarted.

User story:

As a user, I want Magnolia to provide increasingly relevant search results to me. I typically search for the same things. Remember what I searched in the past. Remember it across sessions.

Acceptance criteria:

• Search results improve over time.
• Search results are user specific.
• Search results are persistent.
• Decide where to store the trained model per user.
• Decide how to store the trained model.
• Performance criteria: the user should not notice that we load the model. Find a convenient time to load the model so the user doesn't perceive slowness when they try to search.