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Persuasive Online-Selling in Quality and Taste Domains

  • Markus Zanker
  • Marcel Bricman
  • Sergiu Gordea
  • Dietmar Jannach
  • Markus Jessenitschnig
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4082)

Abstract

‘Quality & taste’ products like wine or fine cigars are one of the fastest growing product sectors in e-commerce. Online shops for these types of products require on the one side persuasive Web presentation and on the other side deep product knowledge. In that context recommender applications may help to create an enjoyable shopping experience for online users. The Advisor Suite framework is a knowledge-based conversational recommender system that aims at mediating between requirements and desires of online shoppers and technical characteristics of the product domain.

In this paper we present a conceptual scheme to classify the driving factors for creating a persuasive online shopping experience with recommender systems. We discuss these concepts on the basis of several fielded applications. Furthermore, we give qualitative results from a long-term evaluation in the domain of Cuban cigars.

Keywords

Recommender System User Involvement Virtual Character Persuasive Technology Shop Owner 
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

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Markus Zanker
    • 1
    • 3
  • Marcel Bricman
    • 2
  • Sergiu Gordea
    • 1
  • Dietmar Jannach
    • 1
    • 3
  • Markus Jessenitschnig
    • 1
  1. 1.University KlagenfurtKlagenfurtAustria
  2. 2.KCI-groupVillachAustria
  3. 3.ConfigWorks GmbHKlagenfurtAustria

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