Tourist Attraction Recommendation Model Based on RFPAP-NNPAP Algorithm
Jun Li
Abstract:Driven by globalization and digitization, the tourism industry is facing new challenges and opportunities brought about by big data and artificial intelligence. The recommendation of tourist attractions, as an important part of the industry, has a direct influence on the tourist experience. However, with the diversification and personalization of tourism demand, traditional recommendation methods have shown shortcomings: weak processing ability for complex nonlinear data, affecting recommendation accuracy and … Show more
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