Contextual information has been widely recognized as an important modeling dimension in various social science and technological disciplines. While a substantial amount of research has already been performed in the area of context-aware recommender systems (CARS), many existing approaches focus on the representational view that incorporates pre-defined and static contextual factors (such as time and location) to the recommendation process.
In the past few years, various new CARS techniques have been introduced, such as sequence-aware recommender systems and latent context-aware recommender systems. Moreover, new application areas, such as, education, health, cooperative work and affective computing, require the modeling of complex, partially observable and dynamic contextual factors.
The primary goal of CARS 2.0 workshop will be to revive the CARS workshops and discuss the next generation of CARS and application domains that may require a variety of dimensions of contexts and cope with its dynamic properties.
CARS 2.0 workshop will held on September 19-20, 2019 and co-located with RecSys 2019 in Copenhagen.
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