Mohamed Ali Mohamed, Ibrahim Mahmoud El-Henawy, Ahmad Salah*
CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3473-3489, 2022, DOI:10.32604/cmc.2022.020782
- 27 September 2021
Abstract Price prediction of goods is a vital point of research due to how common e-commerce platforms are. There are several efforts conducted to forecast the price of items using classic machine learning algorithms and statistical models. These models can predict prices of various financial instruments, e.g., gold, oil, cryptocurrencies, stocks, and second-hand items. Despite these efforts, the literature has no model for predicting the prices of seasonal goods (e.g., Christmas gifts). In this context, we framed the task of seasonal goods price prediction as a regression problem. First, we utilized a real online trailer dataset of… More >
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