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In this study, a combination model of Convolutional Neural Network (CNN) and Light Gradient Boosting Machine (LightGBM) integrating multi-attraction search index was proposed, which performed feature extraction of historical tourist volume of the target attraction and multi-attraction internet search index by CNN, and utilized LightGBM to predict tourist volume of the Oriental Pearl TV Tower in Shanghai, China.