Knowledge-Based Recommendation: Technologies and Experiences from Projects

  • Authors:
  • Alexander Felfernig;Klaus Isak;Christian Russ

  • Affiliations:
  • Institute for Business Informatics and Application Systems, University Klagenfurt, A-9020 Klagenfurt, Austria;Configworks, Lakeside B01, A-9020 Klagenfurt, Austria;Configworks, Lakeside B01, A-9020 Klagenfurt, Austria

  • Venue:
  • Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
  • Year:
  • 2006

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Abstract

Recommender applications are used to support intuitive and personalized product and service selection processes for customers and sales representatives. In this paper we present a knowledge-based recommender environment which assists users in the identification of appropriate solutions from complex product and service assortments. We show how intelligent query relaxation, personalization and intuitive knowledge acquisition support the implementation of customer-friendly sales dialogues and report experiences gained in industrial recommender projects.