Lay ground work for personalized show recommendations based on past user actions.

[shawnCaza]

As a starting point:

UUID:

• Lets assign new visitors a unique user ID when visiting for the first time.
• Store ID to DB and local storage.

Track actions:

• The following behaviours might help us make personalized recommendations:

  • Tag visits
  • Search Terms
  • Clicks to subscribe
  • Show page visits

• New DB table for user_activity could include columns for:

  • UUID
  • Action type
  • Action itself: ID of the tag / show the action was performed on, or the search term
  • DateTime.

  Do we store unique search terms in a separate table so we can refer to them by ID in user_activity? Or keep search out of this now for simplicity?