Research on Tourism Route Recommendation Strategy Based on Convolutional Neural Network and Collaborative Filtering Algorithm

With improving people’s living standards, tourism has become essential leisure and entertainment. At present, it has begun to shift from a quantity-oriented tourism method to a quality-oriented tourism method. It is difficult for passengers to choose the route that suits them from the numerous route...

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Veröffentlicht in:	Security and communication networks Jg. 2022; S. 1 - 9
1. Verfasser:	He, Shan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Hindawi 07.05.2022 John Wiley & Sons, Inc
Schlagworte:	Algorithms Artificial neural networks Collaboration Customers Decomposition Feature extraction Filtration Information overload Neural networks Ratings & rankings Recommender systems Social networks Tourism Travel
ISSN:	1939-0114, 1939-0122
Online-Zugang:	Volltext
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