Indonesian researchers develop new travel tool using three algorithms
Researchers in Indonesia have developed a tourist recommendation system that combines three computational techniques to help travelers find destinations suited to their preferences and budgets.
System integrates three methods
The new model uses K-means clustering to group attractions by tourism potential. The Floyd-Warshall algorithm calculates shortest distances between destinations to optimize journeys. A weighted product method then ranks options against criteria like cost and safety.
Results improve decision making
By combining these methods, the team obtains more accurate recommendations than using a standalone algorithm. The system includes destination potential and geographical distance in its input data. This approach reduces travel time and costs while improving the decision-making process.
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