Expert systems for configuration at Digital: XCON and beyond
Communications of the ACM
Automatic text processing
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Automatic configuration through constraint based reasoning
International Journal of Expert Systems - Special issue: constraint reasoning for expert systems
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recommender systems for evaluating computer messages
Communications of the ACM
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Architectures for product families
Computers in Industry - Special issue: co-operation in manufacturing systems, CIM at work
Information rules: a strategic guide to the network economy
Information rules: a strategic guide to the network economy
Horting hatches an egg: a new graph-theoretic approach to collaborative filtering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Consistency restoriation and explanations in dynamic CSPs----application to configuration
Artificial Intelligence
A new approach to quality function deployment planning with financial consideration
Computers and Operations Research
Product Configuration Frameworks-A Survey
IEEE Intelligent Systems
Configuring Large Systems Using Generative Constraint Satisfaction
IEEE Intelligent Systems
An Industrial Strength Description Logics-Based Configurator Platform
IEEE Intelligent Systems
The Value of Internet Commerce to the Customer
Management Science
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
A classification and constraint-based framework for configuration
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Recommender Systems Research: A Connection-Centric Survey
Journal of Intelligent Information Systems
IEEE Transactions on Knowledge and Data Engineering
Development of an electronic configure-to-order platform for customized product development
Computers in Industry - Special issue: Advanced computer support of engineering and service processes of virtual enterprises
Expert Systems with Applications: An International Journal
Integrated Computer-Aided Engineering
International Journal of Intelligent Systems Technologies and Applications
Applying case-based reasoning for product configuration in mass customization environments
Expert Systems with Applications: An International Journal
Dynamic constraint satisfaction problems
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A genetic algorithm for searching spatial configurations
IEEE Transactions on Evolutionary Computation
Dynamic Pricing Strategies Between Online and Off-Line Retailers Based on Switching Costs
Journal of Electronic Commerce in Organizations
| Hi-index | 0.00 |
Many companies provide configurable products on Internet to satisfy customers' diversified requirements. Most of business-to-consumer (B2C) e-commerce software systems use tree- or wizard-like approaches to guide customers in configuring a customized product on Internet web pages. However, customers may feel confused while they are selecting components of a product from option lists, since they are usually not familiar with the technical details of these components. A few e-commerce sites use recommendation systems to provide suggested products for customers, but they have to maintain user profiles and have limitations such as new user problem and complexity. Therefore, they may not be suitable for small and medium-sized enterprises. This research proposes a new approach to help customers configure their expected products. By using this approach, once a customer inputs the levels of importance of requirements, total budget of the expected product, the software system can figure out a customized product which maximally meets the customer's expectations, and can also provide the suboptimal solutions for further selections. A mathematical model to formulate this optimization problem is established. A case study is used to demonstrate the feasibility and effectiveness of this approach.