An intelligent and private method to profile social network users

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

  • Carlo Blundo, University of Salerno
  • ,
  • Carmen De Maio, University of Salerno
  • ,
  • Mimmo Parente, University of Salerno
  • ,
  • Luisa Siniscalchi

In this paper, we propose an intelligent and private method to profile social network users. The scenario is constituted by the social network platform and an advertiser willing to expose its products to potentially interested users. The intelligence is in the use of text analysis services (like Wikify!) to extract knowledge from the social networks posts and get measure criteria to compare them, by using Rough Set Theory. The private layer guarantees that neither of the parties in the scenario can gain any advantage by knowing information (tastes, users topic adherence, etc...) of the other party.

Original languageEnglish
Title of host publication 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Number of pages6
VolumeJune 2019
Place of publicationNew Orleans
PublisherIEEE
Publication year2019
Pages1-6
ISBN (Electronic)978-1-5386-1728-1
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 - New Orleans, United States
Duration: 23 Jun 201926 Jun 2019

Conference

Conference2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
LandUnited States
ByNew Orleans
Periode23/06/201926/06/2019
SponsorCenter for Eldercare and Rehabilitation Technology, College of Engineering, University of Missouri, Electrical Engineering and Computer Science, University of Missouri, et al, IEEE Computational Intelligence Society, Michigan Techological University
SeriesIEEE International Conference on Fuzzy Systems
ISSN1098-7584

    Research areas

  • Advertisement Recommendation, Privacy, PSI-CA, Social Media Analysis, Twitter

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ID: 178025983