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Demo: Friendbook: privacy preserving friend matching based on shared interests

Published: 01 November 2011 Publication History

Abstract

With the development of social networks, it has been increasingly easier to make friends on the Internet. However, it may not be as easy to automatically find a friend with "similar interests". In this paper, we develop a novel system that allows users with similar interests to be quickly introduced based on the similarity of pictures they took. A real online system, named Friendbook, is implemented on a smartphone network. Due to the limited resources on a smartphone as well as privacy issues, instead of directly comparing the original pictures for similarity measure, Friendbook uses "feature-based" picture comparison. By comparing features extracted from pictures taken by people who want to make friends, their similarity in interests can be automatically inferred based on the content of these pictures. We refer to friends made through Friendbook as "S-friend" for "Semantic-friend". The system also demonstrates the difference between S-friend matching with geographic-based G-friend matching.

References

[1]
Y. Bai and H. R. Qi. Feature-based image comparison for semantic neighbor selection in resource-constrained visual sensor networks. EURASIP Journal on Image and Video Processing (IVP), pages 1--12, 2010.
[2]
H. Bay, T. Tuytelaars, and L. V. Gool. Surf: Speeded-up robust features. In Proc. of the 9th European Conference on Computer Vision, Springer LNCS, volume 3951, pages 404--417, 2006.
[3]
C. Fantacci, A. Martini, and W. Nunziati. P-surf: A surf library for processing. http://processingsurf.altervista.org/, 2009.
[4]
B. Fry and C. Reas. Processing. http://processing.org/.

Cited By

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  • (2016)Friend recommendation system based on lifestyles of users2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)10.1109/AEEICB.2016.7538379(682-685)Online publication date: Feb-2016
  • (2013)Leveraging Social Interactions to Suggest FriendsProceedings of the 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops10.1109/ICDCSW.2013.93(386-391)Online publication date: 8-Jul-2013

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  1. Demo: Friendbook: privacy preserving friend matching based on shared interests

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      cover image ACM Conferences
      SenSys '11: Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
      November 2011
      452 pages
      ISBN:9781450307185
      DOI:10.1145/2070942

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 01 November 2011

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      Author Tags

      1. mobile phone
      2. picture comparison
      3. semantic friend

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      Overall Acceptance Rate 174 of 867 submissions, 20%

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      • (2016)Friend recommendation system based on lifestyles of users2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)10.1109/AEEICB.2016.7538379(682-685)Online publication date: Feb-2016
      • (2013)Leveraging Social Interactions to Suggest FriendsProceedings of the 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops10.1109/ICDCSW.2013.93(386-391)Online publication date: 8-Jul-2013

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