Enhanced personalized phone number recommender

Abstract

Parameters of clusters of a context-encoded model are updated, per frequency estimation of an aspect of calls to contacts with respect to unique combinations of contextual data of calls matching the respective clusters. The clusters are weighted according to relevance of the unique combinations of contextual data to current contextual information. First probabilities of calling individual contacts are determined according to the current contextual information and one or more inferences between calls determined from the clusters as weighted. Second probabilities of calling each of the plurality of contacts are determined according to a set of rules defining prioritizations for contacts based on external factors. Third probabilities of calling each of the plurality of contacts are determined according to calling patterns of other of the plurality of contacts. The first, second, and third sets of weights are combined to determine final predictions for predicted probabilities to call each of the contacts.