T-ECBM: a deep learning-based text-image multimodal model for tourist attraction recommendation.

ABSTRACT: In recent years, tourism revenue and visitor numbers in Northwest China have increased steadily. However, many tourists still have limited knowledge of scenic destinations across the five northwestern provinces. When travelers intend to visit the region but have not yet decided on specific destinations, an intelligent recommendation system is urgently needed to assist their decision-making. Based on collaborative filtering, content matching, or knowledge graphs existing systems primarily face three major challenges: Due to reliance on historical data, the recommendation performance for new users and new attractions is weak; limited ability to capture tourists' current intentions and personalized needs; insufficient utilization of multimodal information. To address these challenges, We prop

SUBMITTER: Chen J 

PROVIDER: S-EPMC12644614 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature