Recommender systems have become a popular and effective means to manage the ever-
increasing amount of multimedia content available today and to help users discover …

The growing use of social media among Internet users produces a vast and new source of
user generated ecological data, such as textual posts and images, which can be collected …

Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

The content of images users post to their social media is driven in part by personality. In this
study, we analyze how Twitter profile images vary with the personality of the users posting …

We overview the framework and the results for the Author Profiling Shared Task organised at
PAN 2015. This year's task aims at identifying age, gender, and personality traits of Twitter …

This paper aims to develop a novel cost-effective framework for face identification, which
progressively maintains a batch of classifiers with the increasing face images of different …

In online social networks, users tend to select information that adhere to their system of
beliefs and to form polarized groups of like minded people. Polarization as well as its effects …

Incorporating users' personality traits has shown to be instrumental in many personalized
retrieval and recommender systems. Analysis of users' digital traces has become an …

Depression is a major public health concern in the US and globally. While successful early
identification and treatment can lead to many positive health and behavioral outcomes …

Previous work has found strong links between the choice of social media images and users'
emotions, demographics and personality traits. In this study, we examine which attributes of …