… dPF, a dynamic matrix factorization model based on the recent Poisson factorization model
… dPF models the time evolving latent factors with a Kalman filter and the actions with Poisson …

A new model, named as deep dynamic poisson factorization model, is proposed in this paper
for analyzing sequential count vectors. The model based on the Poisson Factor Analysis …

… between Poisson factorization framework and Poisson … right time by inferring the dynamic
user interests over time … In appeal to this call, Dynamic Poisson Factorization (DPF) is …

… Abstract—We introduce a novel dynamic model for discrete time-series data, in which the
temporal sampling may be nonuniform. The model is specified by constructing a hierarchy of …

… of evolving user and item factors within the context of Poisson factorization. We propose a
novel dynamic PF model: dynamic compound-Poisson factorization (DCPF). DCPF is a novel …

… , dynamic and massive ratings, we propose a Gamma-Poisson Dynamic Matrix Factorization
model … First, mGDMF is a factorization model that uses a Gamma-Poisson structure to model …

… data, by means of the recently proposed compound Poisson Factorization (cPF). The paper
… compound Poisson factorization (dcPF). dcPF refers to compound Poisson factorization (cPF…

… with few words in existing content-based Poisson factorizations still has limitation. Short item
… , ME Basbug, and BE Engelhardt, “Dynamic collaborative filtering with compound poisson …

… Abstract—Matrix factorization (MF) has earned great success … for personalized ranking of
Poisson factorization that utilizes … learning to rank and Poisson factorization does not follow the …

… To apply the gamma Markov chain to dynamic count and binary matrix factorization, we …
model called Poisson factor analysis [10]. Specifically, we factorize the observed dynamic count (…