Abstract: A system, method and computer-readable medium for recommending signals to monitor in a fraud prevention application, including a server including an electronic processor. The electronic processor is configured to calculate a similarity score for one or more clients, and, for one or more signals, determine, for each of the one or more clients, a signal weight associated with the signal. The electronic processor is also configured to multiply the signal weight by the similarity score associated with the client to generate a weighted similarity score and generate a total similarity score and, for each signal, a total weighted similarity score. The electronic processor is configured to, for each signal, generate a recommendation score based on the total weighted similarity score for the signal and the total similarity score for the signal and, based on the recommendation scores, generate one or more recommended signals for a first client.

Abstract: A system, method and computer-readable medium for recommending signals to monitor in a fraud prevention application, including a server including an electronic processor. The electronic processor is configured to calculate a similarity score for one or more clients, and, for one or more signals, determine, for each of the one or more clients, a signal weight associated with the signal. The electronic processor is also configured to multiply the signal weight by the similarity score associated with the client to generate a weighted similarity score and generate a total similarity score and, for each signal, a total weighted similarity score. The electronic processor is configured to, for each signal, generate a recommendation score based on the total weighted similarity score for the signal and the total similarity score for the signal and, based on the recommendation scores, generate one or more recommended signals for a first client.