Abstract: We introduce negative binomial matrix factorization (NBMF), a matrix factorization technique specially designed for analyzing over-dispersed count data. It can be viewed as an extension of ...

Abstract: We introduce negative binomial matrix factorization (NBMF), a matrix factorization technique specially designed for analyzing over-dispersed count data. It can be viewed as an extension of ...

When exposed to an item in a recommender system, a user may consume it (known as success exposure) or neglect it (known as failure exposure). The recently proposed methods that consider both success ...

A family of probability distributions is called "factor-closed" (f.c.) if it is closed under the operation of factorization. The classical binomial family and certain generalizations of its are shown ...