Prediction of future customer needs using machine learning across multiple product categories
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DOI: 10.1371/journal.pone.0307180
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References listed on IDEAS
- Kühl, N. & Mühlthaler, M. & Goutier, Marc, 2020. "Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130106, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Artem Timoshenko & John R. Hauser, 2019. "Identifying Customer Needs from User-Generated Content," Marketing Science, INFORMS, vol. 38(1), pages 1-20, January.
- Chen Liu & Li Tang & Wei Shan, 2018. "An Extended HITS Algorithm on Bipartite Network for Features Extraction of Online Customer Reviews," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
- Kevin Fauvel & Tao Lin & Véronique Masson & Élisa Fromont & Alexandre Termier, 2021. "XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification," Mathematics, MDPI, vol. 9(23), pages 1-19, December.
- Johan Frishammar, 2005. "Managing Information In New Product Development: A Literature Review," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 259-275.
- Feindt, Sylvie & Jeffcoate, Judith & Chappell, Caroline, 2002. "Identifying Success Factors for Rapid Growth in SME E-commerce," Small Business Economics, Springer, vol. 19(1), pages 51-62, August.
- Niklas Kühl & Marius Mühlthaler & Marc Goutier, 2020. "Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 351-367, June.
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