ISeller: A Flexible Personalization Infrastructure for e-Commerce Applications

  • Authors:
  • Markus Jessenitschnig;Markus Zanker

  • Affiliations:
  • University Klagenfurt, Klagenfurt, Austria 9020;University Klagenfurt, Klagenfurt, Austria 9020

  • Venue:
  • EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
  • Year:
  • 2009

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Abstract

We present ISeller , an industrial-strength recommendation system for a diverse range of commercial application domains. The system supports several recommendation paradigms such as collaborative, content-based and knowledge-based filtering, as well as one-shot and conversational interaction modes out of the box. A generic user modeling component allows different forms of hybrid personalization and enables the system to support process-oriented interactive selling in various product domains. This paper contributes a detailed discussion of a domain independent and flexible recommendation system from a software architecture viewpoint and illustrates it with different usage scenarios.