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Vienna, Austria

Felfernig A.,University of Graz | Schippel S.,Klagenfurt University | Leitner G.,Klagenfurt University | Reinfrank F.,University of Graz | And 4 more authors.
AI Communications | Year: 2013

Constraint-based recommender systems support customers in preference construction processes related to complex products and services. In this context, utility constraints (scoring rules) play an important role. They determine the order in which items (products and services) are presented to customers. In many cases utility constraints are faulty, i.e., calculate rankings which are not expected and accepted by marketing and sales experts. The adaptation of these constraints is extremely time-consuming and often an error-prone process. We present an approach to the automated adaptation of utility constraint sets which is based on solutions for nonlinear optimization problems. This approach increases the applicability of constraint-based recommendation technologies by allowing the automated reproduction of example item rankings specified by marketing and sales experts. © 2013 - IOS Press and the authors. All rights reserved. Source


Blazek P.,CyLEDGE Media GmbH | Kolbm M.,CyLEDGE Media GmbH | Partlm M.,CyLEDGE Media GmbH | Streichsbierc C.,CyLEDGE Media GmbH
International Journal of Industrial Engineering and Management | Year: 2012

The objective of this paper is to analyze the usage of social media in mass customization. Configurating a product to the specific needs of each customer requires information exchange and interaction with the customer. Social media can be used not only for communication purposes but also for example to help the customer in the configuration process or enlarge the shopping experience. By analyzing 412 web-based product configurators we identified the status quo of social media usage in mass customization and discuss possibilities of integrating social media elements in configuration systems. To illustrate the results we give examples and show how social media can be applied. Source

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