Travel Best Route Recommendation Algorithm Using Social Networks and Interest Hotspots Map
Year: 2025
Type: article
Abstract: The algorithm proposed in this paper was a travel route recommendation algorithm based on social networks. The algorithm can reduce the time of route analysis and improve the accuracy of route analysis. Through the investigation and research of the best travel route recommendation algorithm based on social networks and interest hotspots, the results showed that before using the travel route recommendation algorithm based on social networks, tourists' satisfaction with travel time, travel route and tourism attraction was 87.25 points, 86.84 points and 88.62 points respectively. After using the travel route recommendation algorithm, tourists' satisfaction was 95.76 points, 96.48 points and 92.89 points respectively. These results can showed that the travel route recommendation algorithm can improve the satisfaction of tourists, and that the research of travel route recommendation algorithm based on social networks and interest hotspots map was of practical value. This also provided a new research path for tourism route recommendation technology.
DOI: 10.4018/ijec.369391
Author: Yujuan Zhang
Institution: Shandong College of Tourism and Hospitality
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4407601902