Random recommender

This process does a random item recommendation; for a given item ID, from the example set of items, it randomly recommends a desired number of items. The purpose of this workflow is to produce a random recommendation baseline for comparison with different recommendation solutions, on different retrieval measures.

The inputs to the process are context defined macros: %{id} defines an item ID for which we would like to obtain recommendation and %{recommender_no} defines the required number of recommendations. The process internally uses an example set of items containing at least item IDs.

The process essentially creates a random subsample of the item IDs and by means of Generate ID operator it creates the score of the recommendation.

The output of the process is an example set consisting of two attributes: recommendation and score of the recommendation.