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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2014 Issue 3, Pages 46–53 (Mi iipr364)

Intelligent systems and technologies

Using ontological models for individual selection of mobile network operators’ products for subscribers

M. P. Pashkina, A. V. Smirnovab

a St. Petersburg Institute for Informatics and Automation of RAS
b St. Petersburg National Research University of Information Technologies, Mechanics and Optics

Abstract: Under pressure from growing competitive activity, mobile network operators have to look for new ways to stimulate communication services used by subscribers. To achieve this goal, operators develop new products in order to appeal to mass segments of subscribers. However, such strategy fails to attract subscribers effectively and operators are forced to develop mechanisms to select and recommend products based on subscribers individual needs and preferences. This article describes an ontology-driven conceptual models of a mobile network operator’s product and algorithm which has been developed to select appropriate products for subscribers. The presented results will be used to implement a recommender system, closely integrated with the “Product Catalog of a Mobile Network Operator” information system.

Keywords: intelligent system, recommender system, ontological model, context, a mobile network operator’s product.



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© Steklov Math. Inst. of RAS, 2024