GENERATING PRODUCT RECOMMENDATIONS USING FILTER COMBINATION

Volker Renneberg () and Uwe M. Borghoff ()
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Volker Renneberg: Fakultät für Informatik, Institut für Softwaretechnologie, Universität der Bundeswehr, München, 85577 Neubiberg, Germany
Uwe M. Borghoff: Fakultät für Informatik, Institut für Softwaretechnologie, Universität der Bundeswehr, München, 85577 Neubiberg, Germany

International Journal of Innovation and Technology Management (IJITM), 2004, vol. 01, issue 02, 127-149

Abstract: Traditionally, customers spend most of their money for pre-configured "off-the-shelf" products. Simple product variations are offered, but fine-tuning by the customer before the purchase is generally not intended. Why pay for functionality that is not wanted? Why spend money for products that are so rigid and do not satisfy a hundred percent? To remedy these issues, we discuss a possible solution based on recommendations. In our approach, traditional filtering techniques known from recommender systems guide the customer through a sophisticated product personalization process using pipelined filter combination. This process distinguishes between expert customers and novices. An extended example shows the rich capabilities of the proposed solution.

Keywords: Configuration system; filter pipeline; recommender approach; personalization (search for similar items in EconPapers)
Date: 2004
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DOI: 10.1142/S0219877004000143

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