The anatomy of Sindbad: a location-aware social networking system

Authors:
Mohamed Sarwat;Jie Bao;Ahmed Eldawy;Justin J. Levandoski;Amr Magdy;Mohamed F. Mokbel
Affiliations:
University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN;Microsoft Research, Redmond, WA;University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN
Venue:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Year:
2012

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Abstract

This paper features Sindbad; a location-based social networking system. Sindbad supports three new services beyond traditional social networking services, namely, location-aware news feed, location-aware recommender, and location-aware ranking. These new services not only consider social relevance for its users, but they also consider spatial relevance. Since location-aware social networking systems have to deal with large number of users, large number of messages, and user mobility, efficiency and scalability are important issues. To this end, Sindbad encapsulates its three main services inside the query processing engine of PostgreSQL. Usage and internal functionality of Sindbad are implemented with PostgreSQL and Google Maps API. Both a web and android phone applications are built on top of Sindbad for better interaction with the system users.