Sindbad: A location-based social networking system

Mohamed Sarwat, Jie Bao, Ahmed Eldawy, Justin J. Levandoski, Amr Magdy, Mohamed Mokbel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationSIGMOD '12 - Proceedings of the International Conference on Management of Data
Pages649-652
Number of pages4
DOIs
Publication statusPublished - 28 Jun 2012
Externally publishedYes
Event2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12 - Scottsdale, AZ, United States
Duration: 21 May 201224 May 2012

Other

Other2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12
CountryUnited States
CityScottsdale, AZ
Period21/5/1224/5/12

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Keywords

  • news feed
  • recommender
  • recommender systems
  • social
  • social networking
  • spatial message
  • spatial rating

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Sarwat, M., Bao, J., Eldawy, A., Levandoski, J. J., Magdy, A., & Mokbel, M. (2012). Sindbad: A location-based social networking system. In SIGMOD '12 - Proceedings of the International Conference on Management of Data (pp. 649-652) https://doi.org/10.1145/2213836.2213923