Journal of Tourism & Hospitality
Open Access

Abstract

A New Approach to Personalized Recommendations for Cultural Creative Products in Tourism Cities: Insights and Future Direction

Jin Huang*

This commentary examines the innovative recommendation method proposed in a recent study on cultural creative products in tourism cities, which leverages advanced user profiling techniques. By combining collaborative filtering, content-based methods and deep learning models, the study introduces a highly personalized system for recommending cultural creative products tailored to individual users in urban tourism settings. Here, we analyze the strengths of this approach, its potential to transform product engagement in tourism cities and future directions for improvement.

Published Date: 2026-06-19; Received Date: 2024-11-12