A Personalized Travel Route Recommendation Model Using Deep Learning in Scenic Spots Intelligent Service Robots
This paper proposes a personalized tourist interest demand recommendation model based on deep neural network. Firstly, the basic information data and comment text data of tourism service items are obtained by crawling the relevant website data. Furthermore, word segmentation and word vector transfor...
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Main Author: | Qili Tang |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | Journal of Robotics |
Online Access: | http://dx.doi.org/10.1155/2022/3851506 |
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