Forecasting The Price of the Flight Tickets using A Novel Hybrid Learning model

The state-of-the-art methods for estimating the price of aircraft tickets using machine learning are summarized in this study. Existing methods fall short in providing accurate prediction for flight prices both for short-term and long term. In this paper, we focus on short-term prediction, a novel hybrid-based prediction model using convolutional neural networks (CNN) and Recurrent neural network is proposed, namely CNN-LSTM-ST and CNN-GRU-ST. The proposed model achieves an accuracy improvement of up to 40% compared to the state-of-the-art models.