International Journal of Production Research volume 57, issue 10, P3099-3120 2018 DOI: 10.1080/00207543.2018.1535724 View full text
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Lohithaksha M. Maiyar, SangJe Cho, Manoj Kumar Tiwari, Klaus-Dieter Thoben, Dimitris Kiritsis

Abstract: Bowing to the burgeoning needs of online consumers, exploitation of social media content for extrapolating buyer-centric information is gaining increasing attention of researchers and practitioners from service science, data analytics, machine learning and associated domains. The current paper aims to identify the structural relationship between product attributes and subsequently prioritize customer preferences with respect to these attributes while exploiting textual social media data derived from fashion bl…

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