A Sentiment-Enhanced Recommendation System for Anime Pilgrimage Tours
Workneshwoldemichael Ma, Yuanyuan Wang · 2024
Anime pilgrimages, where enthusiasts visit real-world locations from their favorite anime series, have become increasingly popular in recent years. However, planning a satisfying anime pilgrimage itinerary can be challenging, as it involves considering both the attractiveness of the landmarks and the quality of nearby accommodations. This study proposes a novel recommendation approach that uses sentiment analysis to weigh the sentiment scores of anime-related landmarks and hotels to provide personalized suggestions for anime pilgrimage enthusiasts. Our system aims to enhance the overall experience by integrating user sentiment, thus ensuring a more enjoyable and fulfilling journey.