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Personalization of Social Networks: Adaptive Semantic Layer Approach

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Social Networks: A Framework of Computational Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 526))

Abstract

This work describes the idea of an adaptive semantic layer for large-scale databases, allowing to effectively handle a large amount of information. This effect is reached by providing an opportunity to search information on the basis of generalized concepts, or in other words, linguistic descriptions. These concepts are formulated by the user in natural language, and modelled by fuzzy sets, defined on the universe of the significances of the characteristics of the data base objects. After adjustment of user’s concepts based on search results, we have “personalized semantics” for all terms which particular person uses for communications with data base or social networks (for example, “young person” will be different for teenager and for old person; “good restaurant” will be different for people with different income, age, etc.).

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Notes

  1. 1.

    Following [15], we associate semantics of the terms (words) with membership functions.

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Authors and Affiliations

  1. Department of Mechanics and Mathematics, Chair MaTIS, Moscow State University, Moscow, 119899, Russia

    Alexander Ryjov

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  1. Alexander Ryjov
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Correspondence to Alexander Ryjov .

Editor information

Editors and Affiliations

  1. Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Shyi-Ming Chen

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Ryjov, A. (2014). Personalization of Social Networks: Adaptive Semantic Layer Approach. In: Pedrycz, W., Chen, SM. (eds) Social Networks: A Framework of Computational Intelligence. Studies in Computational Intelligence, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-319-02993-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-02993-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02992-4

  • Online ISBN: 978-3-319-02993-1

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