The application a smart phone user will launch next intuitively depends on the sequence of
apps used recently. More generally, when users interact with systems such as shopping …

Context-aware recommender systems try to adapt to users' preferences across different
contexts and have been proven to provide better predictive performance in a number of …

Context-aware recommendation seeks to improve recommendation performance by
exploiting various information sources in addition to the conventional user-item matrix used …

Mobile phones have evolved from communication to multi-purpose devices that assist
people with applications in various contexts and tasks. The size of the mobile ecosystem is …

Context aware recommender systems go beyond the traditional personalized
recommendation models by incorporating a form of situational awareness. They provide …

Context-aware recommender systems have been proven to improve the performance of
recommendations in a wide array of domains and applications. Despite individual …

Recommender systems (RS) are software tools that provide personalized recommendations
of relevant items to individual users. However, most of them do not take into account …

The incorporation of context in recommendation systems is important for providing good
recommendations as it improves the performance. Context awareness is an important …

Context-Aware Recommender Systems locally adapt to a specific contextual situation the
rating prediction computed by a traditional context-free recommender. In this paper we …

The recommendation of additional shopping items that are potentially interesting for the
customer has become a standard feature of modern online stores. In academia, research on …