COMPUTATIONALLY-EFFICIENT RECOMMENDATION GENERATION SYSTEM

A system includes a processor and a memory. The memory stores a parameter database including parameters for entities and instructions for execution by the processor. The instructions include, in response to receiving a request control signal including a scaling factor from a user device, obtaining a set of actions and a corresponding equivalence value for each action from the parameter database. The instructions include filtering the set of actions based on the corresponding equivalence value of the set of actions. The instructions include, for each action of the filtered set of actions, obtaining a set of parameters from the parameter database, computing a recommendation factor based on the set of parameters, and adding the corresponding action to a recommendation list in response to the recommendation factor being less than a threshold. The instructions include transforming an interface of the user device by rendering a graphical depiction of the recommendation list.