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Erschienen in:
2020 | OriginalPaper | Buchkapitel
Analysis of Fashion Market Trend Using Advertising Data of Shopping Information Site
verfasst von : Retsuya Saito, Kohei Otake, Takashi Namatame
Erschienen in: Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing
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Abstract
In recent years, consumer needs for products have been diversified, and companies need proper site management considering trends. As the needs of consumers diversified, it became difficult to grasp the needs. In this study, we analyzed diversifying customer needs by focusing on internet advertising. We classify it into a company’s products by Doc2Vec using each shopping site documents to segment the market using word similarity in the fashion market and verify that a company can accurately identify the needs of consumers in fashion sites. Afterwards, we consider the impression tendency of sites with similar ones by using time-series clustering.