Recommender Systems

Influence and performance of user similarity metrics in followee prediction

The study shows how the choice of the different factors and assessment alternatives affects followee recommendation. It also verifies the existence of certain patterns regarding friends and random users' similarities, which can condition the adequacy of the available similarity metrics.

Workshop on Online Misinformation- and Harm-Aware Recommender Systems

The Workshop on Online Misinformation- and Harm-Aware Recommender Systems (OHARS 2020) aimed at fostering research in recommender systems that can circumvent the negative effects of online harms by promoting the recommendation of safe content and users.

Surviving to social media in the misinformation era

Misinformation in Social Media & Recommender Systems

Friends or Foe: Recommending friends in the misinformation era

Misinformation in Social Media & Recommender Systems

Personalized architectural documentation based on stakeholders’ information needs

This work presents a semi-automated approach to recommend relevant contents of a given SAD to specific stakeholder profiles.

OHARS

Online Harm-Aware Recommender System