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A System for Optimal Products Placement in a Market

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Advances in Information and Communication (FICC 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 439))

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Abstract

In this paper an approach is presented for optimal products placement according to their similarities in a market. The approach is based on a self-organizing map and it is applicable for a variety of product types, as food, books, toys, mixed stores, etc. A modification of the well-known Kohonen learning rule is proposed. Examples are shown for two-dimensional placement and using of shelves in three-dimensional space is considered.

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References

  1. Aloysius, G., Binu, D.: An approach to products placement in supermarkets using PrefixSpan algorithm. J. King Saud Univ. Comput. Inf. Sci. 25(1), 77–87 (2013). https://doi.org/10.1016/j.jksuci.2012.07.001

    Article  Google Scholar 

  2. Carpenter, G., Grossberg, S.: A massively parallel architecture for a self-organizing neural pattern recognition machine. Comput. Vis. Graph. Image Process. 37, 54–115 (1987). https://doi.org/10.1016/S0734-189X(87)80014-2

    Article  MATH  Google Scholar 

  3. Hsu, CL., Matta, R., Popov, S.V., et al.: Optimal product placement. Rev. Ind. Organ. 51, 127–145 (2017). https://doi.org/10.1007/s11151-017-9575-y

  4. Kohonen, T. Self-Organizing Maps. Springer, Heidelberg (2001). https://doi.org/10.1007/978-3-642-56927-2. ISBN: 354062017–6

  5. Maiorana, F.: Performance improvements of a Kohonen self organizing classification algorithm on sparse data sets. In: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems, Corfu, Greece, pp. 347–352 (2008)

    Google Scholar 

  6. Principe, J.C., Wang, L., Motter, M.A.: Local dynamic modeling with self-organizing maps and applications to nonlinear system identification and control. Proc. IEEE 86(11), 2240–2258 (1998). https://doi.org/10.1109/5.726789

    Article  Google Scholar 

  7. Tokutaka, H., Kihato, P.K., Fujimura, K., Ohkita, M.: Cluster analysis using spherical SOM. In: Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 2007). Published by the Neuroinformatics Group, Bielefeld University, Germany, pp. 1–7 (2007)

    Google Scholar 

  8. Zhao, Z.: Improvements to Kohonen self-organizing algorithm. Electron. Lett. 30(6), 502–503 (1994). https://doi.org/10.1049/el:19940346

    Article  Google Scholar 

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Acknowledgment

The research, the results of which are presented in the present paper, have been carried out under the TU-Varna Scientific Project “Integration of virtualization and network technologies for the purposes of distance learning in the conditions of covid-19”, which is financed by the state budget.

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Correspondence to Ventsislav Nikolov .

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Nikolov, V. (2022). A System for Optimal Products Placement in a Market. In: Arai, K. (eds) Advances in Information and Communication. FICC 2022. Lecture Notes in Networks and Systems, vol 439. Springer, Cham. https://doi.org/10.1007/978-3-030-98015-3_26

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