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Research on Precision Marketing Strategy of Rural Tourism Combining Big Data and Cloud Computing Technology

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The study reveals that precision marketing significantly enhances rural tourism competitiveness based on traveler preferences.
Experiments confirm the K-means algorithm effectively identifies four types of tourist behavior for better marketing.
This analysis utilizes collaborative filtering to generate personalized attraction recommendations for tourists.
The findings suggest integrating big data marketing strategies can uplift rural tourism services significantly.

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This research demonstrates how cloud computing improves precision marketing in rural tourism, highlighting big data applications.

Sang et al. (2025) studied this question.

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