Theory vs. data-driven learning in future e-commerce
[S.l.] : IEEE Computer Society
InProceedings of the 2013 46th Hawaii International Conference on System Sciences (HICSS), pp. 2763-2772
Article in monograph or in proceedings
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SW OZ DCC KI
Proceedings of the 2013 46th Hawaii International Conference on System Sciences (HICSS)
SubjectCognitive artificial intelligence; DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication
As personalization, adaptation and persuasion are called for in e-commerce and as computational power increases, a question emerges: should companies use theories to develop and run their e-commerce operations or does mere data based optimization do a better job? We explore different types of computer-based learning methods and present two evaluations of primarily data-driven learning applications that advance e-commerce in the direction of interactive e-selling relationships.
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