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.
There have been several CARS workshops organized in the past, where the addition of contextual information to traditional recommender systems has been discussed. However, 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. In this respect, the main challenge of the next generation of CARS is to introduce more flexible and exhaustive approaches to modeling and using contextual information.
Topics of interest
We invite contributions to the workshop about topics related to CARS (but are not limited to):
· Sequence-aware recommender systems;
· Latent context-aware recommender systems;
· Mobile recommender systems and wearables;
· Context-aware proactive recommender systems;
· Context-aware modeling for recommender systems;
· Data sets for context-dependent recommendations;
· Algorithms for detecting the relevance of contextual data from multiple types of data (semantic web, graphs) and media (text, images, video, speech);
· Interacting with context-aware recommender systems;
· Novel applications for context-aware recommender systems;
· Large-scale context-aware recommender systems;
· Evaluation of context-aware recommender systems;
· Context in decision making
Submission Types and Guidelines
CARS 2.0 submissions should be prepared in PDF format according to the standard double-column ACM SIG proceedings format. The peer review process is single-blind, handled electronically through EasyChair. Accepted papers will be included in the workshop proceedings and at least one author of each accepted contribution must attend the workshop. Accepted papers are given an oral or a poster presentation slot at the workshop. The ideal length of a paper for the CARS workshop is between 4-8 pages (plus up to 1 page of references). Submitted work should be original. However, technical reports or ArXiv disclosure prior to or simultaneous with the workshop submission, is allowed, provided they are not peer-reviewed. The organizers also encourage authors to make their code and datasets publicly available.
Submission deadline: July 1, 2019
July 12, 2019
Notification: July 25, 2019
August 2, 2019
Camera-ready deadline: August 19, 2019
Deadlines refer to 11:59pm (Anywhere on Earth)
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