A theory of diagnosis from first principles
Artificial Intelligence
A correction to the algorithm in Reiter's theory of diagnosis
Artificial Intelligence
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Model-based diagnosis of hardware designs
Artificial Intelligence
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
Configuration knowledge representations for Semantic Web applications
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
An intelligent assistant for interactive workflow composition
Proceedings of the 9th international conference on Intelligent user interfaces
Consistency-based diagnosis of configuration knowledge bases
Artificial Intelligence
Multimedia-based interactive advising technology for online consumer decision support
Communications of the ACM - Special issue: RFID
Koba4MS: Selling Complex Products and Services Using Knowledge-Based Recommender Technologies
CEC '05 Proceedings of the Seventh IEEE International Conference on E-Commerce Technology
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
A survey of intelligent debugging
AI Communications
A prototype for model-based on board diagnosis of automotive systems
AI Communications
An Integrated Environment for the Development of Knowledge-Based Recommender Applications
International Journal of Electronic Commerce
Reducing development and maintenance efforts for web-based recommender applications
International Journal of Web Engineering and Technology
Knowledge-Based Recommendation: Technologies and Experiences from Projects
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
QUICKXPLAIN: preferred explanations and relaxations for over-constrained problems
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Knowledge-based interactive selling of financial services with FSAdvisor
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
A personalized system for conversational recommendations
Journal of Artificial Intelligence Research
A live-user evaluation of collaborative web search
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Product recommendation with interactive query management and twofold similarity
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Constraint-based recommender systems: technologies and research issues
Proceedings of the 10th international conference on Electronic commerce
Engineering Applications of Artificial Intelligence
An efficient diagnosis algorithm for inconsistent constraint sets
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
An intelligent framework for e-government personalized services
Proceedings of the 14th Annual International Conference on Digital Government Research
Bringing context-aware access to the web through spoken interaction
Applied Intelligence
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Customers interacting with online selling platforms require the assistance of sales support systems in the product and service selection process. Knowledge-based recommenders are specific sales support systems which involve online customers in dialogs with the goal to support preference forming processes. These systems have been successfully deployed in commercial environments supporting the recommendation of, e.g., financial services, e-tourism services, or consumer goods. However, the development of user interface descriptions and knowledge bases underlying knowledge-based recommenders is often an error-prone and frustrating business. In this paper we focus on the first aspect and present an approach which supports knowledge engineers in the identification of faults in user interface descriptions. These descriptions are the input for a model-based diagnosis algorithm which automatically identifies faulty elements and indicates those elements to the knowledge engineer. In addition, we present results of an empirical study which demonstrates the applicability of our approach.