Personalization in Tourism Marketing Based on Leveraging User-Generated Content With AI Recommender Systems DOI
Sushil Bhardwaj, Indu Sharma, Gurpreet Kaur

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 317 - 346

Опубликована: Март 12, 2025

Personalization in tourism marketing has become essential providing unique and tailored travel experiences. This chapter delves into the integration of artificial intelligence (AI) user-generated content (UGC) to create personalized recommendations. It explores how AI-powered recommender systems, including content-based collaborative filtering techniques, process vast amounts UGC such as reviews, images, social media posts analyze consumer preferences behavior. The further discusses these systems enhance user experience by offering targeted suggestions based on individual preferences, increasing engagement, improving customer satisfaction. Additionally, it examines case studies from leading platforms like TripAdvisor Expedia, demonstrating effectiveness AI-driven personalization real-world applications. By highlighting impact, challenges, ethical considerations AI marketing, this provides a comprehensive overview AI's role shaping future

Язык: Английский

Personalization in Tourism Marketing Based on Leveraging User-Generated Content With AI Recommender Systems DOI
Sushil Bhardwaj, Indu Sharma, Gurpreet Kaur

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 317 - 346

Опубликована: Март 12, 2025

Personalization in tourism marketing has become essential providing unique and tailored travel experiences. This chapter delves into the integration of artificial intelligence (AI) user-generated content (UGC) to create personalized recommendations. It explores how AI-powered recommender systems, including content-based collaborative filtering techniques, process vast amounts UGC such as reviews, images, social media posts analyze consumer preferences behavior. The further discusses these systems enhance user experience by offering targeted suggestions based on individual preferences, increasing engagement, improving customer satisfaction. Additionally, it examines case studies from leading platforms like TripAdvisor Expedia, demonstrating effectiveness AI-driven personalization real-world applications. By highlighting impact, challenges, ethical considerations AI marketing, this provides a comprehensive overview AI's role shaping future

Язык: Английский

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