G06N504
Please help me predict the CPC LABEL for this patentPATENT ABSTRACT: An apparatus, method and computer program product for generating a recommendation using multi-relational learning comprising receiving first multi-relational data for a first relation, receiving second multi-relational data for a second relation associated with the first relation, unfolding the received first multi-relational data into relational matrices based on a relational graph, obtaining co-clustering, related models of the relational matrices, and generating and displaying the recommendation from the relational matrices and the second multi-relational data. In one aspect, the unfolding is performed using hierarchical nonparametric Bayesian collective matrix factorization. In one aspect, the at least two relational matrices comprise commonly shared object types having the same latent membership across the at least two relational matrices. In one aspect, the unfolding further comprises using matrix factorization on the at least two relational matrices, and performing predictive modeling of each relation of the at least two relational matrices.