• Andreas W Neumann
Part of the Contributions to Management Science book series (MANAGEMENT SC.)

Various online stores have recently integrated different kinds of recommender systems in their e-commerce storefronts. Thereby, the general public is becoming more and more accustomed and positively attached to these value-adding services. Recommender systems in online stores present products as recommendations to customers according to the customers’ current interests and needs. On the one hand, customers profit from a faster finding of relevant products, on the other hand, stores profit from rising sales.


Recommender System Mass Customization Online Store Recommendation Service Suitable Product 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Physica-Verlag Heidelberg 2009

Authors and Affiliations

  1. 1.Universität Karlsruhe Fak. Wirtschaftswissenschaften Inst. InformationswirtschaftGermany

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