Abstract
Fashion trend prediction is especially important for textile and garment industry. In recent years, with the impact and promotion of Internet big data, the life cycle of fashion products is shortened, the historical data are missing, and the demand is uncertain, which increases the difficulty of accurate prediction. This paper introduces the quantification method of fashion trends, the prediction model of fashion trends and the key technologies of big data. Looking back, it is found that clothing fashion trend prediction based on social media data mining, database collaborative fashion trend development, enterprise intelligent manufacturing based on fashion trend research are the current research directions of big data fashion trend prediction.
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