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TechTalk with AI Recommendation System in Smart Tourism by Prof. Francesco Ricci

Research output: Contribution to journal › Comment/debate

1 Citation (Scopus)

Abstract

Interview at a glance “We proposed to use reinforcement learning and to relay on the current position to suggest what to visit next. The contextual approach is hugely important to generate impact of AI recommender system in tourism industry, which shows a remarkable product complexity.” The Interview with Prof. Francesco Ricci leaved numerous lessons to understand what AI recommender systems are and suggestions for their proper adoption. He highlighted that the analysis of tourist behavior and situational needs is vital to AI recommender systems, not just for providing tourism information in general.

Original languageEnglish
Pages (from-to)1-3
Number of pages3
JournalJournal of Smart Tourism
Volume3
Issue number2
DOIs
Publication statusPublished - Jun 2023

Bibliographical note

Publisher Copyright:
© 2023 SAGE Publications

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