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What is Ai Trip Planner about?

This paper presents an interactive framework for travel recommender systems (TRSs) that allows users to modify itineraries directly on a map, enhancing personalization through user feedback. The framework addresses data sparsity by capturing user preferences and fine-tuning recommender models, resulting in improved itinerary recommendations. Experimental results demonstrate significant accuracy improvements, particularly for smaller models, highlighting the effectiveness of integrating interaction data into

Author

Abhishek Kuamr

Language

EN