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...
Tallennettuna:
| Päätekijät: | , , , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Taylor & Francis Group
2022-12-01
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| Sarja: | International Journal of Digital Earth |
| Aiheet: | |
| Linkit: | http://dx.doi.org/10.1080/17538947.2022.2130456 |
| Tagit: |
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