MODERN METHODS OF RESEARCHING TOURIST BEHAVIOR: FROM TRADITIONAL ANALYSES TO AI

Flavius Ionatan Gavrilă, Ramona Ciolac, Elena Peț, Florin Daniel Militaru, Gabriela Popescu

Abstract


The paper provides a bibliographic analysis of modern methods used in tourist behavior research, with a focus on the integration of artificial intelligence (AI) and big data analytics. The aim is to highlight the transition from traditional methods, centered on declarative data, to predictive and automated methods, which use machine learning algorithms and natural language processing. The results of the study show emerging trends in the field and the relevance of applying AI in the development of intelligent systems for personalizing tourist experiences, including in rural areas.

Keywords


smart tourism; tourist behavior; artificial intelligence; Big Data; machine learning

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References


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Copyright (c) 2026 FLAVIUS IONATAN GAVRILĂ, RAMONA CIOLAC, ELENA PEȚ, FLORIN DANIEL MILITARU, GABRIELA POPESCU

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LUCRĂRI ȘTIINȚIFICE MANAGEMENT AGRICOL

ISSN print 1453-1410
ISSN online 2069-2307
(former ISSN 1453-1410, E-ISSN 2069-2307)

PUBLISHER: AGROPRINT Timisoara, Romania
PAPER ACCESS: Full text articles available for free
FREQUENCY: Annual
PUBLICATION LANGUAGE: English

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Banat`s University of Agricultural Sciences and Veterinary Medicine “King Michael I of Romania” from Timisoara
Faculty of Management and Rural Tourism
300645, Timisoara, Calea Aradului 119, Romania

E-mail: tabitaadamov2003 [at] yahoo.com
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