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Data Market Implementation to Match Retail Customer Buying Versus Social Media Activity

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Intelligent Computing (SAI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1228))

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Abstract

There is considered an idea of a Big Data Market focused on network retailers with the ability to aggregate data from various sources. The principal aim of the paper is to present a new model for retail customers buying process versus their social media activity to improve retail network personalization. The challenge is concerned with a requirement to process uncoordinated event flows that describe online publication of messages and purchase of goods. The proposed method of recursive decomposition consists in the fact that the data obtained as a result of the analysis are also subject to further analysis. This approach allows decomposing analysis tasks into components, namely data sources and receivers, groups of decision methods and the ability to use the results of one method as a data source for another one. As a result, the data market gets an opportunity to assume data to be not only information, but also algorithms for its processing. The paper presents some results of this concept implementation in practice and use for predictive analysis that prove the expected benefits.

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Author information

Authors and Affiliations

  1. Samara State Technical University, Molodogvardeyskaya 244, Samara, Russia

    Anton Ivaschenko

  2. Samara National Research University, Moskovskoe shosse 34, Samara, Russia

    Anastasia Stolbova & Oleg Golovnin

Authors
  1. Anton Ivaschenko
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  2. Anastasia Stolbova
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  3. Oleg Golovnin
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Corresponding author

Correspondence to Anton Ivaschenko .

Editor information

Editors and Affiliations

  1. Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Ivaschenko, A., Stolbova, A., Golovnin, O. (2020). Data Market Implementation to Match Retail Customer Buying Versus Social Media Activity. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1228. Springer, Cham. https://doi.org/10.1007/978-3-030-52249-0_26

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