September 19th 2023: The workshop video recording is published online
September 1st 2023: The workshop program is published!
August 3rd 2023: We extended the submission deadline until August 7th, 2023
April 14th 2023: Submission is open to CARS 2023!
Sep 26th 2022: The recording of the CARS 2022 workshop is available online
Contextual information has been widely recognized as an important modeling dimension in social science and technological disciplines, and it is becoming more and more important for enhancing the relevancy of the recommendation results. Several context-aware recommender systems (CARS) workshops have been organized in the past, where the addition of contextual information to traditional recommender systems has been discussed. While a substantial amount of research has already been performed, many existing approaches to CARS focus on the so-called `representational view' that incorporates pre-defined and static contextual factors (such as time and location) in the recommendation process.
However, in the past few years, new CARS techniques have been introduced, such as sequence-aware recommender systems and latent context-aware recommender systems. Moreover, inferring implicit contexts in real-time (online) environments and measuring business metrics for multiple new application areas, such as education, health, cooperative work and affective computing, require the modeling of complex, partially observable and dynamic contextual factors.
Hence, the primary goal of the CARS workshop is to rethink the CARS topic and broadly discuss important features of the next generation of CARS and application domains that may require the use of novel types of contextual information and cope with their dynamic properties. In this respect, the main challenge of the next generation of CARS is to introduce more explainable, flexible, and comprehensive approaches to modeling and using contextual information. We also aim at discussing novel perspectives on how recommender systems can deal with the specific contextual situations that characterise the usage of RSs and bring together researchers with wide-ranging backgrounds to identify important research questions in that field, to exchange ideas from different research disciplines, and, more generally, to facilitate discussion and innovation in the area of the next generation of context-aware recommender systems.
CARS 2023 workshop will be held in person on September 18th, 2023 in the afternoon, between 2 pm - 5:35 pm, and will be co-located with RecSys'23 in Singapore.
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