Context-based distribution of points of interest

Authors:
Mario Hoffmann;Alam Mohammad;Suleman Khan
Affiliations:
Fraunhofer AISEC, Garching (near Munich), Germany;Fraunhofer AISEC, Garching (near Munich), Germany;Fraunhofer AISEC, Garching (near Munich), Germany
Venue:
Proceedings of the seventh ACM international workshop on Mobility in the evolving internet architecture
Year:
2012

Citing 4
Cited 0

Don't Make Me Think: A Common Sense Approach to the Web (2nd Edition)

Don't Make Me Think: A Common Sense Approach to the Web (2nd Edition)
Private location-based information retrieval through user collaboration

Computer Communications
Addressing concepts for mobile location-based information services

UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Mobile information search for location-based information

Computers in Industry

Quantified Score

Hi-index	0.00

Visualization

Abstract

Location Based Services are a wide spread service family available at each mobile platform. One occurrence comprise services that allows users to find restaurants, hotels, sights, ATMs, gas stations, etc., i.e. points of interest (POIs). The next generation of POIs will be much more specific and targeted in terms of level of personalization, context evaluation, selection of recipients, and period of validity. Authenticity, integrity, data minimization and privacy preserving implementations will be key enablers for their success. Based on the Kantara-UMA protocol we introduce in this demo paper an Android app prototype that demonstrates context-based distribution of recommendations of points of interest among a specifically authorized and controlled list of recipients.