Abstract: This application relates to apparatus and methods for automatically determining items to advertise, such as on a website, based on user search queries. In some examples, a computing device trains a machine learning process with user session data that identifies user search queries and related search context. The computing device may execute the trained machine learning process to determine one or more predicted items for each of a plurality of search queries. The predicted items may be stored in a database. The computing device may receive a request for recommended items to advertise in connection with a current user query. In response, the computing device determines items for the current user query based on the predicted items stored in the database. In some examples, the computing device determines additional items based on search queries similar to the current search query. Advertisements for the items may then be displayed.