Abstract
One of the main tasks of web Analytics is to analyze the structure of websites, on the basis of which data is determined by the behavior of visitors to make decisions on the development and expansion of the functionality of the web resource. Cognitive maps are used to model weakly structured subject areas in which, for a number of reasons, it is impossible to formalize the relationship between factors functionally. For construction of fuzzy cognitive maps seek help from the expert of the problem area, which on the basis of their knowledge and experience can reliably identify the factors and assess the strength and direction of relations between them. As part of this work, it was decided to choose conversion as a usability metric. In order to verify the correctness of the algorithm for calculating the conversion was used text log-file of the real site.
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This work was supported by the MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005).
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Kireev, V.S., Rogachev, A.S., Yurin, A. (2019). Web-Analytics Based on Fuzzy Cognitive Maps. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2018. BICA 2018. Advances in Intelligent Systems and Computing, vol 848. Springer, Cham. https://doi.org/10.1007/978-3-319-99316-4_23
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DOI: https://doi.org/10.1007/978-3-319-99316-4_23
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