Sometimes we desire change, a break from the same, or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However, current diversification...

We propose an approach to uncover characteristic response paths of a population from an individual-level multivariate time series dataset. The approach is based on a model that accommodates arbitrary and mixed set of distributions for the endogenous variables, accommodates intersession intervals...

We present a hidden Markov model for collaborative filtering of implicit ratings when the ratings have been generated by a set of changing user preferences. Most of the works in the collaborative filtering and recommender systems literature have been developed under the assumption that user...