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With improving people's living standards, tourism has become essential leisure and entertainment. At present, it has begun to shift from a quantity-oriented tourism method to a quality-oriented tourism method. It is difficult for passengers to choose the route that suits them from the numerous routes. Given the above problems, this study proposes a travel route recommendation algorithm that combines a convolutional neural network and collaborative filtering. The algorithm uses a convolutionaldoi:10.1155/2022/4659567 fatcat:tdvmxf3crbb2jkbwrkwqyqmvn4