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Using social network classifiers for predicting e-commerce adoption
Verbraken, Thomas; Goethals, Frank; Verbeke, Wouter; … - In: E-Life: web-enabled convergence of commerce, work, and …, (pp. 9-21). 2012
Persistent link: https://www.econbiz.de/10009548210
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Uplift modeling and its implications for B2B customer churn prediction : a segmentation-based modeling approach
Caigny, Arno de; Coussement, Kristof; Verbeke, Wouter; … - In: Industrial marketing management : the international … 99 (2021), pp. 28-39
Persistent link: https://www.econbiz.de/10013206384
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How consumers' media usage creates synergy in advertising campaigns
Dens, Nathalie; Pelsmacker, Patrick de; Goos, Peter; … - In: International journal of market research : JMRS ; the … 60 (2018) 3, pp. 268-287
Persistent link: https://www.econbiz.de/10011887351
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Mining massive finde-grained behacior data to improve predictice analytics
Martens, David; Provost, Foster; Clark, Jessica; … - In: Management information systems : mis quarterly 40 (2016) 4, pp. 869-888
Persistent link: https://www.econbiz.de/10011612497
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Predicting the demographics of Twitter users with programmatic weak supervision
Tonglet, Jonathan; Jehoul, Astrid; Reusens, Manon; … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 354-390
Persistent link: https://www.econbiz.de/10015188198