Principled design of the modern Web architecture
Proceedings of the 22nd international conference on Software engineering
IEEE Transactions on Knowledge and Data Engineering
Feeding frenzy: selectively materializing users' event feeds
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Towards location-based social networking services
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
LARS: A Location-Aware Recommender System
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
GeoFeed: A Location Aware News Feed System
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
RecDB: towards DBMS support for online recommender systems
PhD '12 Proceedings of the on SIGMOD/PODS 2012 PhD Symposium
The anatomy of Sindbad: a location-aware social networking system
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Cache refreshing for online social news feeds
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
GeoRank: an efficient location-aware news feed ranking system
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Mobility and social networking: a data management perspective
Proceedings of the VLDB Endowment
RecDB in action: recommendation made easy in relational databases
Proceedings of the VLDB Endowment
An object based conceptual framework for location based social networking
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
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This demo presents 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, implemented with PostgreSQL and Google Maps API, are demonstrated through user (i.e., web/phone) and system analyzer GUI interfaces, respectively.