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Implementing K-Means Clustering Algorithm in Collaborative Trip Advisory and Planning System
2019
Periodicals of Engineering and Natural Sciences (PEN)
Fueled by the help of the Internet, more and more tourists nowadays tend to plan trips by themselves in order to have trip plans that meet their preferences and convenience perfectly. However, tourists may face some problems when they plan a trip by themselves, which makes the whole trip planning process challenging and tiring. These problems include extensive tourism information, manually constructing an itinerary for a trip and difficulty in satisfying the needs of all trip participants.
doi:10.21533/pen.v7i2.461
fatcat:hz35f4o6hjesblkj62soym7epa