Fab: content-based, collaborative recommendation
Communications of the ACM
Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
Supporting Context-Aware Media Recommendations for Smart Phones
IEEE Pervasive Computing
A location-aware recommender system for mobile shopping environments
Expert Systems with Applications: An International Journal
Human-Computer Interaction
LARS: A Location-Aware Recommender System
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Cross-domain collaboration recommendation
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Software provision in smart environment based on fuzzy logic intelligibility
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
A hidden Markov model for collaborative filtering
MIS Quarterly
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Recommender systems, deployed on the web and in mobile devices, help users in finding services and products that are addressing their needs, based on their profile. On the other hand, such systems help also organizations in promoting their products or services to a targeted market. Users in mobility in smart urban spaces are surrounded with products and services, such as mobile device applications. In this paper, we are presenting the result of a survey, where participants had to give their opinions on recommendation modalities in several scenarios of context-aware service recommendation in urban environments. These results are followed by an analysis and a discussion.