This paper presents a context-aware mobile recommender system, codenamed Magitti. Magitti is unique in that it infers user activity from context and patterns of user behavior and,...
Victoria Bellotti, James Bo Begole, Ed Huai-hsin C...
— This paper presents a concept that enables consumers to access and share product recommendations using their mobile phone. Based on a review of current product recommendation m...
Felix von Reischach, Florian Michahelles, Dominiqu...
We present rush as a recommendation-based interaction and visualization technique for repeated item selection from large data sets on mobile touch screen devices. Proposals and ch...
The goal of the work in this paper is towards the incorporation of context in recommender systems in the domain of mobile applications. The approach recommends mobile applications...
This paper sums up lessons learned from a sequence of cooperative design workshops where end users were enabled to design mobile systems through scenario building, role playing, a...