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Vol. 8, Issue 2 (2019)

Tourism recommendation system: Personalized travel experiences unveiled

Author(s):
Dr. Manoj Kr. Jain
Abstract:
The tourism industry has developed rapidly in the last few years and information technology has also had a huge impact on tourists. Analyzing the recent tourism behavior is another matter. This article provides a digital model of a lifestyle concept that is easy to develop and use as a travel guide. The digital lifestyle model defines the overall context of visitor behavior, connects the tourist to the digital world, and allows us to track changes in behavior over time. A literature review on the current state of research in the chosen field is conducted to identify current problems. Behavior analysis case studies based on distribution, covariance and time series event models are introduced. Ontological methods and neural networks are used in behavioural models, training, and evaluation processes. The collected results can be used by smart marketers and business stakeholders.
Pages: 767-772  |  95 Views  31 Downloads


The Pharma Innovation Journal
How to cite this article:
Dr. Manoj Kr. Jain. Tourism recommendation system: Personalized travel experiences unveiled. Pharma Innovation 2019;8(2):767-772. DOI: 10.22271/tpi.2019.v8.i2m.25423

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