Mobile Recommender Systems

12 years 11 months ago
Mobile Recommender Systems
Mobile phones are becoming a primary platform for information access and when coupled with recommender systems technologies they can become key tools for mobile users both for leisure and business applications. Recommendation techniques can increase the usability of mobile systems providing personalized and more focussed content, hence limiting the negative effects of information overload. In this paper we review the major issues and opportunities that the mobile scenario opens to the application of recommender systems especially in the area of travel and tourism. We overview major techniques that have been proposed in the last years and we illustrate the supported functions. We also illustrate specific computational models that have been proposed for mobile recommender systems and we close the paper by presenting some possible future developments and extension in this area.
Francesco Ricci
Added 14 May 2011
Updated 14 May 2011
Type Journal
Year 2011
Where JITT
Authors Francesco Ricci
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