… CARS with other question selection strategies. For InCarMusic and STSTravel dataset, I-CARS …
alternative approach MaxWeight to MaxRating for InCarMusic dataset that shows a quite …

… A single context is used with the ratings from the InCarMusic dataset to deliver music
references for the users. There are three scenarios on which the proposed approach has been …

… Latent context-aware RS are a subset of CARS that use latent context instead of non-latent …
pair with the number of items, except for the InCarMusic data set. In the case of this data set, …

… music in numerous different contexts and situations. Therefore, we propose a multi-context-aware …
exploit information about the current situation and musical preferences of users. Our …

… the context-aware recommender systems (CARS) since the original publication on this topic
[5, 6]. Context-aware recommender systems (CARS… sets DePaul_Movie and InCarMusic, our …

… It is possible to highlight how the InCarMusic dataset has a strong presence in CARS … and
researchers in music recommendation and context-aware recommender systems by helping …

… -car music infotainment systems, where our project of mood-based music recommendations
… systems research, one of the definitions of context-aware computing is the ability of a mobile …

… the context-aware recommender systems (CARS) since the original publication on this topic
[5, 6]. Context-aware recommender systems (CARS… sets DePaul_Movie and InCarMusic, our …

… However, to evaluate CARS we need datasets that incorporate context data, that is,
information about the context of the user when he/she rated the item or decided to choose it. …

… , IncarMusic dataset, is a context aware music dataset offers music items to people travelling
in a car… dataset, which is specially designed for context aware personalization research. The …