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.
Description
An Integrated Environment for the Development of Knowledge-Based Recommender Applications
%0 Journal Article
%1 paper:felfernig:2006
%A Felfernig, Alexander
%A Friedrich, Gerhard
%A Jannach, Dietmar
%A Zanker, Markus
%C Armonk, NY, USA
%D 2006
%I M. E. Sharpe, Inc.
%J International Journal of Electronic Commerce
%K 2006 CWAdvisor RS
%N 2
%P 11--34
%R http://dx.doi.org/10.2753/JEC1086-4415110201
%T An Integrated Environment for the Development of Knowledge-Based Recommender Applications
%U http://portal.acm.org/citation.cfm?id=1278154
%V 11
%X 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.
@article{paper:felfernig:2006,
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.},
added-at = {2009-03-03T09:30:12.000+0100},
address = {Armonk, NY, USA},
author = {Felfernig, Alexander and Friedrich, Gerhard and Jannach, Dietmar and Zanker, Markus},
biburl = {https://www.bibsonomy.org/bibtex/24172d90a4b41004becf94c0b75d0a4b5/mschuber},
description = {An Integrated Environment for the Development of Knowledge-Based Recommender Applications},
doi = {http://dx.doi.org/10.2753/JEC1086-4415110201},
interhash = {13e3818b0df43c7d65f80c0bbf15724c},
intrahash = {4172d90a4b41004becf94c0b75d0a4b5},
issn = {1086-4415},
journal = {International Journal of Electronic Commerce},
keywords = {2006 CWAdvisor RS},
month = {07},
number = 2,
pages = {11--34},
publisher = {M. E. Sharpe, Inc.},
timestamp = {2009-03-03T09:30:12.000+0100},
title = {An Integrated Environment for the Development of Knowledge-Based Recommender Applications},
url = {http://portal.acm.org/citation.cfm?id=1278154},
volume = 11,
year = 2006
}