Case-based reasoning: a computer model of subjective assessment
Case-based reasoning: a computer model of subjective assessment
Case-based reasoning
On the computation of local interchangeability in discrete constraint satisfaction problems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Communications of the ACM
The Wasabi Personal Shopper: a case-based recommender system
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Building an agent-mediated electronic commerce system with decision analysis features
Decision Support Systems - Decision-making and E-commerce systems
Local search with constraint propagation and conflict-based heuristics
Artificial Intelligence
Case-Based Reasoning Support for Online Catalog Sales
IEEE Internet Computing
Applying Case-Based Reasoning to Autoclave Loading
IEEE Expert: Intelligent Systems and Their Applications
The Role of Configuration Knowledge in the Business Process
IEEE Intelligent Systems
Product Configuration Frameworks-A Survey
IEEE Intelligent Systems
An Industrial Strength Description Logics-Based Configurator Platform
IEEE Intelligent Systems
Sales Configuration in Business Processes
IEEE Intelligent Systems
IEEE Intelligent Systems
Adaptive Assistants for Customized E-Shopping
IEEE Intelligent Systems
Spatial composition using cases: IDIOM
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Experiments On Adaptation-Guided Retrieval In Case-Based Design
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Using Configuration Techniques for Adaptation
Case-Based Reasoning Technology, From Foundations to Applications
Combining case based and constraint based techniques in travel reservation systems
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
Case and constraint-based apartment construction project planning system: FASTrak-APT
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Online customization with configurable standard models
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Identifying generic routings for product families based on text mining and tree matching
Decision Support Systems
Application of a hybrid intelligent decision support model in logistics outsourcing
Computers and Operations Research
Expert Systems with Applications: An International Journal
Development of a product configuration system with an ontology-based approach
Computer-Aided Design
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In electronic catalogs, commodities such as computers and electronic equipment are specified as standard models although a variety of possible alternative specifications can exist as a combination of selected options; therefore, customized configurations are essential to support various customers with individual needs. Thus, the problem here is the selection of a standard model and reconfiguration with this selected model. An issue is that requirements may be fulfilled by more than one standard model. To develop an algorithm that can find the near minimum price without causing unacceptable computation effort, we devised the Standard Model Selection and Modification (SMSM) Algorithm. To establish the SMSM Algorithm, we propose the Concurrent Local Propagation procedure complemented with pruning capability owing to the nature of standard models. The effective strategies for selection of seed variables and stopping rules are devised through comparative experiments.For the experiment, we use Dell's personal computer (PC) products consisting of 42 standard models with 25 specification variables. The SMSM Algorithm is tested with 75 experimental cases, and we found that the most similar standard models could discover the minimum price only in 24 out of 75 cases and that the SMSM procedure could reduce the price by 6.04% from the one offered by the most similar standard models.