One crucial task in recommendation is to predict what a user will buy next given her shopping history. In this paper, we propose a novel neural network to complete this task. The ...
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...