Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …

Agenda 2030 of Sustainable Development Goals (SDGs) 9 and 11 recognizes tourism as
one of the central industries to global development to tackle global challenges. With the …

With the explosive growth of online social networks, it is now well understood that social
information is highly helpful to recommender systems. Social recommendation methods are …

A social recommendation system has attracted a lot of attention recently in the research
communities of information retrieval, machine learning, and data mining. Traditional social …

While the initial goal of recommender systems (RSes) was to reduce the information
overload for Internet users and make the information retrieval more efficient, they have …

We consider a recommender system that takes into account the interplay between
recommendations, the evolution of user interests, and harmful content. We model the impact …

As AI systems enter into a growing number of societal domains, these systems increasingly
shape and are shaped by user preferences, opinions, and behaviors. However, the design …

Though there are numerous traditional models to predict market share and demand along
airline routes, the prediction of existing models is not precise enough and, to the best of our …

The design and evaluation of recommender systems often takes the perspective of
supervised machine learning, treating viewer preferences and the content catalogue as …

Recommendation systems usually try to “guess” a user's preferences from the system's view.
We study another side of recommendation: active opinion-formation from the perspective of …