Journal
INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE
Volume 11, Issue 2, Pages 11-34Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.2753/JEC1086-4415110201
Keywords
end-user programming; knowledge acquisition; knowledge-based recommenders; model-based diagnosis; personalization; recommender systems; testing recommender knowledge bases
Categories
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available