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Personalized tourist route recommendation model with a trajectory understanding via neural networks

Travel recommendations form a major part of tourism service. Traditional collaborative filtering and Markov model are not appropriate for expressing the trajectory features, for travel preferences of tourists are dynamic and affected by previous behaviors. Inspired by the success of deep learning in...

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Bibliografiset tiedot
Päätekijät: Naixia Mou, Qi Jiang, Lingxian Zhang, Jiqiang Niu, Yunhao Zheng, Yanci Wang, Tengfei Yang
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Taylor & Francis Group 2022-12-01
Sarja:International Journal of Digital Earth
Aiheet:
Linkit:http://dx.doi.org/10.1080/17538947.2022.2130456
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