Geo-Social Profile Matching Algorithm for Dynamic Interests in Ad-Hoc Social Network

Nagender Aneja, Sapna Gambhir

Department of Computer Engineering, YMCA University of Science and Technology, Faridabad, India.

DOI: 10.4236/sn.2014.35029                

Abstract

Among mobile users, ad-hoc social network (ASN) is becoming a popular platform to connect and share their interests anytime anywhere. Many researchers and computer scientists investigated ASN architecture, implementation, user experience, and different profile matching algorithms to provide better user experience in ad-hoc social network. We emphasize that strength of an ad-hoc social network depends on a good profile-matching algorithm that provides meaningful friend suggestions in proximity. Keeping browsing history is a good way to determine user’s interest, however, interests change with location. This paper presents a novel profile-matching algorithm for automatically building a user profile based on dynamic GPS (Global Positing System) location and browsing history of users. Building user profile based on GPS location of a user provides benefits to ASN users as this profile represents user’s dynamic interests that keep changing with location e.g. office, home, or some other location. Proposed profile-matching algorithm maintains multiple local profiles based on location of mobile device.

Keywords

Ad-Hoc Social Networks, User Profile, Dynamic Interests, Friends, Profile Matching, Search and Browsing History

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Lee, J. and Hong, C.-S. (2011) A Mechanism for Building Ad-Hoc Social Network Based on User’s Interest. 13th Asia-Pacific Network Operations and Management Symposium (APNOMS).
[2]	Sarigol, E., Riva, O., Stuedi, P. and Alonso, G. (2009) Enabling Social Networking in ad Hoc Networks of Mobile Phones. Proceedings of VLDB Endow.
[3]	Trieu, Q.L. and Pham, T.V. (2012) STARS: Ad-Hoc Peer-to-Peer Online Social Network. Lecture Notes in Computer Science Computational Collective Intelligence Technologies and Applications.
[4]	Campbell, A.T., Eisenman, S.B., Fodor, K., Lane, N.D., Lu, H., Miluzzo, E., Musolesi, M., Peterson, R.A. and Zheng, X. (2008) CenceMe: Injecting Sensing Presence into Social Network Applications Using Mobile Phones. Proceedings of ACM 9th International Symposium on Mobile Ad Hoc Networking and Computing (Mobi-Hoc’08).
[5]	Sarigol, E., Riva, O. and Alonso, G. (2010) A Tuple Space for Social Networking on Mobile Phones. 26th IEEE International Conference on Data Engineering (ICDE), California.
[6]	Yiu, M.L., Hou, L., Saltenis, S. and Tzoumas, K. (2010) Efficient Proximity Detection among Mobile Users via Self-Tuning Policies. Proceedings of VLDB Endow.
[7]	Bottazzi, D., Montanari, R. and Toninelli, A. (2007) Context-Aware Middleware for Anytime, Anywhere Social Networks. IEEE Intelligent Systems, 22, 23-32. http://dx.doi.org/10.1109/MIS.2007.4338491
[8]	Zhang, R., Zhang, J.X., Zhang, Y.C., Sun, J.Y. and Yan, G.H. (2013) Privacy-Preserving Profile Matching for Proximity-Based Mobile Social Networking. IEEE Journal on Selected Areas in Communications, 31, 656-668. http://dx.doi.org/10.1109/JSAC.2013.SUP.0513057
[9]	Zhang, L., Li, X.-Y. and Liu, Y.H. (2013) Message in a Sealed Bottle: Privacy Preserving Friending in Social Networks. 33rd IEEE International Conference on Distributed Computing Systems (ICDCS).
[10]	Mascetti, S., Freni, D., Bettini, C., Wang, X.S. and Jajodia, S. (2011) Privacy in Geo-Social Networks: Proximity Notification with Untrusted Service Providers and Curious Buddies. The VLDB Journal, 20, 541-566. http://dx.doi.org/10.1007/s00778-010-0213-7
[11]	Aneja, N. and Gambhir, S. (2012) Various Issues in Ad-hoc Social Networks. In: Proceedings of National Conference on Recent Trends in Computer Science and Information Technology (RTCSIT), Echelon Institute of Technology, Faridabad, Haryana.
[12]	Gambhir, S. and Aneja, N. (2013) Ad-Hoc Social Network: A Comprehensive Survey. International Journal of Scientific and Engineering Research, 4.