ПРИМЕНЕНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА ДЛЯ ПЕРСОНАЛИЗАЦИИ ТУРИСТИЧЕСКИХ УСЛУГ

This article examines methodological conditions for using artificial intelligence to personalise tourism services. A targeted literature review and modelling inform a recommendation process combining tourist preferences, a verified catalogue and mandatory constraints. Selection, explanation generation and booking confirmation are distinguished. Indicators address relevance, factual reliability and additional economic outcomes, alongside a comparative testing protocol. The framework requires current data, minimal personal information and staff involvement under uncertainty. Its practical contributionis a model for pilot implementation by tourism organisations. No experiment was conducted; numerical examples are hypothetical.

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