Conversational recommender systems have attracted immense attention recently. The most recent approaches rely on neural models trained recorded dialogs between humans, implementing an end-to-end learning process. These are commonly designed to generate responses given the user's utterances in natural language. One main challenge is that these generated both be appropriate for dialog context and...

Abstract This paper proposes a visualization recommender system for tabular data given intents (e.g., “population trends in Italy” and “smartphone market share”). The proposed method predicts the most suitable type line, pie, or bar chart) visualized columns (columns used visualization) based on statistical features extracted from as well semantic derived intent. To predict appropriate type, we...

Recommendation systems have been successfully used to provide items of interest to the users (e.g., movies, music, books, news, images). However, traditional recommendation systems do not take into account the location as a relevant factor when providing suggestions. On the other hand, nowadays, there exist an increasing amount of georeferenced data and users are usually interested only in near...

BACKGROUND In 2001, the World Health Organisation (WHO) recommended exclusive breastfeeding for the first six months of life. The objectives of this study are to assess awareness of the WHO recommendation among first-time mothers (women at 24 to 34 weeks of pregnancy) and to explore the relationship between this awareness and mothers' intention to exclusively breastfeed for six months. METHOD...