Recommender systems research is by and large based on comparisons of recommendation algorithms’ predictive accuracies: the better the evaluation metrics (higher accuracy scores ...
The Web has grown into one of the most important channels to communicate social events nowadays. However, the sheer volume of events available in event-based social networks (EBSN...
Augusto Q. de Macedo, Leandro Balby Marinho, Rodry...
Recommender systems have become de facto tools for suggesting items that are of potential interest to users. Predicting a user’s rating on an item is the fundamental recommendat...
Large scale virtual worlds such as massive multiplayer online games or 3D worlds gained tremendous popularity over the past few years. With the large and ever increasing amount of...
Leandro Balby Marinho, Christoph Trattner, Denis P...
Laboratory studies are a common way of comparing recommendation approaches with respect to different quality dimensions that might be relevant for real users. One typical experim...
Social networks facilitate a variety of social, economic, and political interactions. Homophily and social influence suggest that preferences (e.g., over products, services, poli...
In this paper, we present work-in-progress of a recently started project that aims at studying the effect of time in recommender systems in the context of social tagging, consolid...
Santiago Larrain, Christoph Trattner, Denis Parra,...
Recommendation systems have been successfully used to provide items of interest to the users (e.g., movies, music, books, news, images). However, traditional recommendation system...