Travel Best Route Recommendation Algorithm Using Social Networks and Interest Hotspots Map

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.

Authors

Publication Details

Journal
International Journal of e-Collaboration
Published
2025-02-15
DOI
https://doi.org/10.4018/ijec.369391
Citations
2
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
8.40
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article

Travel Best Route Recommendation Algorithm Using Social Networks and Interest Hotspots Map

Yu‐Juan Zhang
2 citations
International Journal of e-Collaboration
Digital Marketing and Social Media
8.40
article

Travel Best Route Recommendation Algorithm Using Social Networks and Interest Hotspots Map

Yu‐Juan Zhang
article en
2 citations

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.

International Journal of e-CollaborationVol. 21(1)
Openalex Percentile: Top 4%
Digital Marketing and Social Media
8.40
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