This paper presents a framework for estimating and updating user preferences in the context
of app-based recommender systems. We specifically consider recommender systems which …

Topic models such as latent Dirichlet allocation (LDA) and hierarchical Dirichlet processes
(HDP) are simple solutions to discover topics from a set of unannotated documents. While …

In recent years, we have witnessed the explosive growth of microblogging services. As a
popular platform for users to communicate and share information with friends, microblog has …

This paper analyses the film industry as a social phenomenon through the lens of revised
modernisation theory. Revised modernisation theory implies that economic development …

Forecasters are typically evaluated via proper scoring rules such as the Brier score. These
scoring rules use only the reported forecasts for assessment, neglecting related variables …

Latent Dirichlet allocation (LDA) is a popular algorithm for discovering semantic structure in
large collections of text or other data. Although its complexity is linear in the data size, its use …

Endogeneity arises in discrete choice models due to several factors and results in
inconsistent estimates of the model parameters. In adaptive choice contexts such as choice …

We present a new approach to defining film genre based on implicit ideals. When viewers
rate the likability of a film, they indirectly express their ideal of what a film should be. Across …

H διδακτορική διατριβή τοποθετείται στον χώρο των συστημάτων αποφάσεων και ειδικότερα
στην περιοχή των συστημάτων προτάσεων (recommender systems) όπου προτείνει την …

There is substantial overlap between categorization research in psychology and
classification research in machine learning and statistics. I will first discuss the relationship …