Recommender Systems help an on-line user to tame information overload and are being used now in complex domains where it could be beneficial to exploit context-awareness, e.g., in travel recommendation. Technically, in Recommender Systems we can ...

In this study, we show that individual users' preferences for the level of diversity, popularity, and serendipity in recommendation lists cannot be inferred from their ratings alone. We demonstrate that we can extract strong signals about individual ...

Recently, mood has proved to be an important contextual feature in context-aware recommender systems (CARS) by some studies. In this paper we propose two new approaches to mood-based hybrid collaborative filtering (CF) in order to further improve the ...