Recommender systems (RSs) are popular tools dealing with information overload problems in eCommerce Web sites. RSs match user preferences with item representations and recommend t...
Fabiana Lorenzi, Francesco Ricci, Mara Abel, Ana L...
Scheduling of delay-tolerant jobs has been proposed as a mechanism to alleviate pressure on congested network resources. However, when multiple competing users share these resource...
Abstract. Just-In-Time Information Retrieval agents proactively retrieve information based on queries that are implicit in, and formulated from, the user's current context, su...
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
This paper presents an approach to develop bidding agents that participate in multiple alternative auctions, with the goal of obtaining an item at the lowest price. The approach c...