This paper presents the “Tell me What I Need”(TWIN) Personality-based Intelligent
Recommender System, the goal of which is to recommend items chosen by like-minded (or …

A support vector machine is trained to classify the Five Factor personality of writers of free
text. Writers are classified for each of the five personality dimensions as high/low with the …

The appearance of the so-called recommender systems has led to the possibility of reducing
the information overload experienced by individuals searching among online resources …

Twitter, one of the most popular social media platforms, has been studied from different
angles. One of the important sources of information in Twitter is users' biographies, which …

This study aims to estimate the influence of offline activity on users' online behavior, relying
on a matching method to reduce the effect of confounding variables. We analyze activities of …

Many personality theories suggest that personality influences customer shopping
preference. Thus, this research analyses the potential ability to improve the accuracy of the …

In this paper we analyze the influence of the personality traits on the annotator annotation
practices, by focusing on the study of the correlation between readers personalities and …

With the constant increase in the amount of information available in online communities, the
task of building an appropriate Recommender System to support the user in her decision …

Personality assessment can be used to predict subjects' use of products and services,
thriving in academic programs, and performance in work environments. To avoid the costs …

E-commerce can facilitate destination and facility selection for tourism purposes. To
effectively harness its full potential, it is imperative to ascertain the relationship between the …