Intelligent recommender systems that support the product-selection process
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[German title: Intelligente Empfehlungssysteme, die den Prozess der Produktauswahl unterstützen]

An Integrated Environment for the Development of Knowledge-Based Recommender Applications
Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Zanker
International Journal of Electronic Commerce 
Issue: Volume 11, Number 2 / Winter 2006-7 
Pages: 11 – 34 
DOI: 10.2753/JEC1086-4415110201 

Abstract: The complexity of the product assortments offered by on-line selling platforms makes selection a challenging task. Customers differ in respect to expertise and product knowledge, but intelligent recommender systems offer personalized dialogues that support the product-selection process. This paper describes CWAdvisor, a domain-independent, knowledge-based recommender environment that provides users with consistently appropriate solutions, identifies additional selling opportunities, and explains solutions. The discussion uses examples from several application domains to show how model-based diagnosis, personalization, and intuitive knowledge-acquisition techniques support customer-oriented sales dialogues. Experience obtained in industrial projects is reported, and successfully deployed recommender applications are evaluated.

Keywords: End-user programming, knowledge acquisition, knowledgebased recommenders, model-based diagnosis, personalization, recommender systems, testing recommender knowledge bases

Read the article online.

© M. E. Sharpe, Inc.


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