General Concepts of Behavior-Based Recommender Services

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

In the next chapters, the focus of this book is set on behavior-based recommender systems. In this chapter, different aspects are presented that play important roles in the general design of implicit recommendation services but do not belong to the area of mechanism design as discussed in Section 3.2. First, it is portrayed how preferences of customers can be determined from their behavior. Second, it is shown how self-selection leads to the necessary homogeneity of the user group that is used to collect the behavioral input data to the recommender system. Section 6.3 discusses different types of behavioral data and their general applicability as input data.


Transaction Cost Recommender System Search Cost Event Space Market Basket 
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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