The situation in which a choice is made is an important information for recommender
systems. Context-aware recommenders take this information into account to make …

Context aware recommender systems (CARS) adapt the recommendations to the specific
situation in which the items will be consumed. In this paper we present a novel context …

Research on context aware recommender systems is taking for granted that context matters.
But, often attempts to show the influence of context have failed. In this paper we consider the …

Traditional recommender systems provide recommendations of items to users; recently,
some of them also consider the context related to predictions. In this paper we propose a …

Realizing context-aware recommender systems (CARS) has been acknowledged as one of
the most important topics in the area of recommender systems. CARSs aim to incorporate …

Automatic generation of recommendations from data has attracted increasing attention from
both research communities and IT industries. The recommendation techniques could be …

In a general collaborative filtering (CF) setting, a user profile contains a set of previously
rated items and is used to represent the user's interest. Unfortunately, most CF approaches …