ScenicPlanner: planning scenic travel routes leveraging heterogeneous user-generated digital footprints

Author:

Chen Chao,Chen Xia,Wang Zhu,Wang Yasha,Zhang Daqing

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Context-Aware Personalized Route Recommendations for Bicycle Users Using Large-Scale Mobility Data;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Consumer Satisfaction Evaluation System for Route Planning of Urban Tourist Attractions Based on Multiple Data Fusion;Applied Mathematics and Nonlinear Sciences;2024-01-01

3. Graph-Based Approach for Personalized Travel Recommendations;Transport and Telecommunication Journal;2023-11-01

4. MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-10

5. Analyzing the structure of tourism destination network based on digital footprints: taking Guilin, China as a case;Data Technologies and Applications;2022-05-23

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