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Poster: Constructing a Unique Profile for Mobile User Identification in Location Recommendation Systems

Published: 18 May 2015 Publication History

Abstract

No abstract available.

References

[1]
Y.-A. de Montjoye, C. A. Hidalgo, M. Verleysen, and V. D. Blondel. Unique in the crowd: The privacy bounds of human mobility. Scientific reports, 3, 2013.
[2]
M. H. S. Eldaw, M. Levene, and G. Roussos. Collective suffix tree-based models for location prediction. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication, pages 441--450. ACM, 2013.
[3]
J. K. Laurila, D. Gatica-Perez, I. Aad, J. Blom, O. Bornet, T. M. T. Do, O. Dousse, J. Eberle, and M. Miettinen. The mobile data challenge: Big data for mobile computing research. In Mobile Data Challenge by Nokia Workshop, in conjunction with Int. Conf. on Pervasive Computing, Newcastle, UK, 2012.

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  1. Poster: Constructing a Unique Profile for Mobile User Identification in Location Recommendation Systems

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      cover image ACM Conferences
      MobiSys '15: Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services
      May 2015
      516 pages
      ISBN:9781450334945
      DOI:10.1145/2742647
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 18 May 2015

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      Author Tags

      1. fingerprint
      2. location recommendation
      3. mobility traces

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      MobiSys '15 Paper Acceptance Rate 29 of 219 submissions, 13%;
      Overall Acceptance Rate 274 of 1,679 submissions, 16%

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