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Deep Neural Networks for Matching Online Social Networking Profiles

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10448))

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Abstract

This paper details a novel method for grouping together online social networking profiles of the same person extracted from different sources. Name ambiguity arises naturally in any culture due to the popularity of specific names which are shared by a large number of people. This is one of the main problems in people search, which is also multiplied by the number of different data sources that contain information about the same person. Grouping pages from various social networking websites in order to disambiguate between different individuals with the same name is an important task in people search. This allows building a detailed description and a consolidated online identity for each individual. Our results show that given a large enough dataset, neural networks and word embeddings provide the best method to solve this problem.

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Notes

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    https://www.tensorflow.org/.

  2. 2.

    https://about.me/.

  3. 3.

    https://www.wholi.com.

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Author information

Authors and Affiliations

  1. University Politehnica of Bucharest, 313 Splaiul Independentei, 060042, Bucharest, Romania

    Vicentiu-Marian Ciorbaru & Traian Rebedea

Authors
  1. Vicentiu-Marian Ciorbaru
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  2. Traian Rebedea
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Corresponding author

Correspondence to Traian Rebedea .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management , Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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Ciorbaru, VM., Rebedea, T. (2017). Deep Neural Networks for Matching Online Social Networking Profiles. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-67074-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67073-7

  • Online ISBN: 978-3-319-67074-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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