Automatic identification of informal social groups and places for geo-social recommendations
International Journal of Mobile Network Design and Innovation
The MobiSoC middleware for mobile social computing: challenges, design, and early experiences
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
An energy-efficient mobile recommender system
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A web search-centric approach to recommender systems with URLs as minimal user contexts
Journal of Systems and Software
Design guidelines for mobile group recommender systems to handle inaccurate or missing location data
Proceedings of the fifth ACM conference on Recommender systems
Proceedings of the 9th ACM international symposium on Mobility management and wireless access
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Social Recommendations for Location-Based Services
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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This paper discusses the functional and technological opportunities associated with mobile recommendation systems. These are systems that help a mobile user or a group of mobile users with decisions that they encounter 'on the go.' Examples include consumers making purchasing decisions in retail stores, or students having ad hoc meetings to decide on assignment workload. We discuss key findings from behavioural decision theory to provide a set of functional requirements. This is followed by an exploration of technological options to implement mobile recommendation systems. The paper concludes with a discussion on how the user acceptance of these systems can be meaningfully measured and improved.