Second Workshop on Context-Aware Recommender Systems, Barcelona, Spain
The importance of contextual information has been recognised by researchers and practitioners in many disciplines, including e-commerce personalisation, information retrieval, ubiquitous and mobile computing, data mining, marketing, and management. While a substantial amount of research has already been performed in the area of recommender systems, the vast majority of existing approaches focuses on recommending the most relevant items to users and does not take into account any additional contextual information, such as time, location, weather or the company of other people.
The workshop will aims to bring together researchers with wide-ranging backgrounds to identify important research questions, to exchange ideas from different research disciplines, and, more generally, to facilitate discussion and innovation in the area of context-aware recommender systems (CARS).
Topics of interest slated to be discussed at the event include:
- context modelling techniques for recommender systems,
- context-aware user modelling for recommender systems,
- data sets for context-dependent recommendations,
- algorithms for detecting the relevance of contextual data,
- algorithms for incorporating contextual information into recommendation process,
- algorithms for building explicit dependencies between contextual features and ratings,
- 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.For further information, please visit:
http://ids.csom.umn.edu/faculty/gedas/cars2010/(opens in new window)